Triple
T17378127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra railway division |
E422493
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Agra–Tundla section
The Agra–Tundla section is a key railway line in northern India that connects the historic city of Agra with the junction town of Tundla, forming part of an important route on the Indian Railways network.
|
E1268128
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Agra–Tundla section | Statement: [Agra railway division, hasLine, Agra–Tundla section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra–Tundla section Context triple: [Agra railway division, hasLine, Agra–Tundla section]
-
A.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
-
B.
Delhi–Agra section
The Delhi–Agra section is a key railway corridor in northern India that connects the national capital, Delhi, with the historic city of Agra and forms part of a major passenger and tourist route.
-
C.
Jabalpur–Itarsi section
The Jabalpur–Itarsi section is a key railway corridor in the Indian state of Madhya Pradesh that connects the city of Jabalpur with the major junction of Itarsi, serving numerous intermediate towns and facilitating regional passenger and freight movement.
-
D.
Delhi–Kanpur section
The Delhi–Kanpur section is a major railway corridor in northern India that connects the national capital Delhi with the industrial city of Kanpur, carrying heavy passenger and freight traffic.
-
E.
Jhansi–Gwalior–Agra section
The Jhansi–Gwalior–Agra section is a key railway corridor in northern India that connects the historic cities of Jhansi, Gwalior, and Agra and forms part of an important route for both passenger and freight traffic.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Agra–Tundla section Triple: [Agra railway division, hasLine, Agra–Tundla section]
Generated description
The Agra–Tundla section is a key railway line in northern India that connects the historic city of Agra with the junction town of Tundla, forming part of an important route on the Indian Railways network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agra–Tundla section Target entity description: The Agra–Tundla section is a key railway line in northern India that connects the historic city of Agra with the junction town of Tundla, forming part of an important route on the Indian Railways network.
-
A.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
-
B.
Delhi–Agra section
The Delhi–Agra section is a key railway corridor in northern India that connects the national capital, Delhi, with the historic city of Agra and forms part of a major passenger and tourist route.
-
C.
Jabalpur–Itarsi section
The Jabalpur–Itarsi section is a key railway corridor in the Indian state of Madhya Pradesh that connects the city of Jabalpur with the major junction of Itarsi, serving numerous intermediate towns and facilitating regional passenger and freight movement.
-
D.
Delhi–Kanpur section
The Delhi–Kanpur section is a major railway corridor in northern India that connects the national capital Delhi with the industrial city of Kanpur, carrying heavy passenger and freight traffic.
-
E.
Jhansi–Gwalior–Agra section
The Jhansi–Gwalior–Agra section is a key railway corridor in northern India that connects the historic cities of Jhansi, Gwalior, and Agra and forms part of an important route for both passenger and freight traffic.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6ea56c8190b56d966ccf2c91f7 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7ef62688190b3a07a3022775e1b |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a8d7e05c8190aceb0795a430fee7 |
completed | May 11, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a943fdec8190a875c7eb56c742da |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:45 a.m.