Triple
T12863637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhalawar district |
E307658
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object |
Khanpur
Khanpur is a prominent town in Rajasthan, India, known as one of the key urban centers of Jhalawar district.
|
E1035711
|
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: Khanpur | Statement: [Jhalawar district, majorTown, Khanpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khanpur Context triple: [Jhalawar district, majorTown, Khanpur]
-
A.
Khanpur
Khanpur is a significant urban and commercial center in southern Punjab, Pakistan, known for its agricultural trade and regional connectivity.
-
B.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
-
C.
Rupnagar
Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
-
D.
Kishtwari
Kishtwari is an Indo-Aryan language spoken primarily in the Kishtwar region of Jammu and Kashmir, India.
-
E.
Sardulgarh
Sardulgarh is a town in the Mansa district of Punjab, India, known for its agricultural economy and location near the Punjab–Haryana border.
- 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: Khanpur Triple: [Jhalawar district, majorTown, Khanpur]
Generated description
Khanpur is a prominent town in Rajasthan, India, known as one of the key urban centers of Jhalawar district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khanpur Target entity description: Khanpur is a prominent town in Rajasthan, India, known as one of the key urban centers of Jhalawar district.
-
A.
Khanpur
Khanpur is a significant urban and commercial center in southern Punjab, Pakistan, known for its agricultural trade and regional connectivity.
-
B.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
-
C.
Rupnagar
Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
-
D.
Kishtwari
Kishtwari is an Indo-Aryan language spoken primarily in the Kishtwar region of Jammu and Kashmir, India.
-
E.
Sardulgarh
Sardulgarh is a town in the Mansa district of Punjab, India, known for its agricultural economy and location near the Punjab–Haryana border.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708cf6b48190886a99e04d85d348 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f0c11f88190b0f0fa1d0ec74a8d |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f721b1a5d88190b9075437c7ab81a5 |
completed | May 3, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72262ede4819095b3dc4c7cd63450 |
completed | May 3, 2026, 10:24 a.m. |
Created at: April 9, 2026, 5:37 p.m.