Triple
T8944520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyotiba Phule Nagar district |
E213188
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Hasanpur
Hasanpur is a prominent town in Uttar Pradesh, India, known as a key local center for trade and administration within the region.
|
E768240
|
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: Hasanpur | Statement: [Jyotiba Phule Nagar district, hasMajorTown, Hasanpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasanpur Context triple: [Jyotiba Phule Nagar district, hasMajorTown, Hasanpur]
-
A.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
-
B.
Ramdaspur
Ramdaspur is the historical name for the city of Amritsar in Punjab, India, a major spiritual and cultural center of Sikhism.
-
C.
Khanpur
Khanpur is a significant urban and commercial center in southern Punjab, Pakistan, known for its agricultural trade and regional connectivity.
-
D.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
E.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
- 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: Hasanpur Triple: [Jyotiba Phule Nagar district, hasMajorTown, Hasanpur]
Generated description
Hasanpur is a prominent town in Uttar Pradesh, India, known as a key local center for trade and administration within the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasanpur Target entity description: Hasanpur is a prominent town in Uttar Pradesh, India, known as a key local center for trade and administration within the region.
-
A.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
-
B.
Ramdaspur
Ramdaspur is the historical name for the city of Amritsar in Punjab, India, a major spiritual and cultural center of Sikhism.
-
C.
Khanpur
Khanpur is a significant urban and commercial center in southern Punjab, Pakistan, known for its agricultural trade and regional connectivity.
-
D.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
E.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66da71808190b4454b2f95aae0bd |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1f87db481909d40ed6fb0a4c8c9 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc4319ad881909223a61f2370a6f1 |
completed | April 3, 2026, 1:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc4b019188190a49f11c51a6199ce |
completed | April 3, 2026, 1:46 p.m. |
Created at: March 30, 2026, 6:59 p.m.