Triple
T15094785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panipat Junction |
E360510
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Panipat city |
E1098876
|
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: Panipat city | Statement: [Panipat Junction, serves, Panipat city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panipat city Context triple: [Panipat Junction, serves, Panipat city]
-
A.
Panipat city
chosen
Panipat city is a historic urban center in the Indian state of Haryana, renowned for being the site of three major battles that shaped the subcontinent’s history.
-
B.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
-
C.
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.
-
D.
Faridabad
Faridabad is a major industrial city in northern India known for its manufacturing sector and its location within the National Capital Region near New Delhi.
-
E.
Baghpat
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.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae21134c81908939ad6ce46703d8 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.