Triple
T7469865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghpat region |
E176473
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Baghpat |
E402444
|
NE FINISHED |
How this triple was built (2 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: Baghpat | Statement: [Baghpat region, hasMajorTown, Baghpat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baghpat Context triple: [Baghpat region, hasMajorTown, Baghpat]
-
A.
Baghpat
chosen
Baghpat is a town and district headquarters in the Indian state of Uttar Pradesh, situated near Delhi and known for its agricultural economy and growing integration into the National Capital Region’s urban network.
-
B.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
C.
Shahjahanpur
Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
-
D.
Saharanpur
Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
-
E.
Rampur
Rampur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f845e081908117783ff1e63e23 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8de96d58c819086c308396a4a304e |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 3:41 p.m.