Triple
T17958919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viluppuram district |
E449023
|
entity |
| Predicate | hasNationalHighway |
P385
|
FINISHED |
| Object |
NH45
NH45 is a major Indian national highway in Tamil Nadu that connects Chennai with the southern and central parts of the state, serving as a key transportation corridor through districts such as Viluppuram.
|
E1298205
|
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: NH45 | Statement: [Viluppuram district, hasNationalHighway, NH45]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH45 Context triple: [Viluppuram district, hasNationalHighway, NH45]
-
A.
NH44
NH44 is one of India’s longest and most important north–south national highways, connecting major cities and states across the country.
-
B.
NH505
NH505 is a national highway in India that provides road access to the remote Himalayan town of Kaza in Himachal Pradesh.
-
C.
N-45
N-45 is a national highway in Pakistan that serves as a key route connecting the Lowari Pass area with other regions of the country.
-
D.
NH30
NH30 is a National Highway in India that serves as an important roadway connecting multiple cities and regions within the country’s highway network.
-
E.
A-45
A-45 is a major Spanish motorway that connects the cities of Málaga and Córdoba in Andalusia.
- 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: NH45 Triple: [Viluppuram district, hasNationalHighway, NH45]
Generated description
NH45 is a major Indian national highway in Tamil Nadu that connects Chennai with the southern and central parts of the state, serving as a key transportation corridor through districts such as Viluppuram.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NH45 Target entity description: NH45 is a major Indian national highway in Tamil Nadu that connects Chennai with the southern and central parts of the state, serving as a key transportation corridor through districts such as Viluppuram.
-
A.
NH44
NH44 is one of India’s longest and most important north–south national highways, connecting major cities and states across the country.
-
B.
NH505
NH505 is a national highway in India that provides road access to the remote Himalayan town of Kaza in Himachal Pradesh.
-
C.
N-45
N-45 is a national highway in Pakistan that serves as a key route connecting the Lowari Pass area with other regions of the country.
-
D.
NH30
NH30 is a National Highway in India that serves as an important roadway connecting multiple cities and regions within the country’s highway network.
-
E.
A-45
A-45 is a major Spanish motorway that connects the cities of Málaga and Córdoba in Andalusia.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b130b7a081908542a3bc6dab5842 |
completed | April 19, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0329231bc88190bd8dddb2d2f9e5fa |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032b6bbebc819084da96216c6406d6 |
completed | May 12, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c34e8ac8190876e37fe8d3aa304 |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:22 a.m.