Triple
T7044709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzaffarnagar region |
E163602
|
entity |
| Predicate | nearbyMajorCity |
P1982
|
FINISHED |
| Object | Saharanpur |
E453695
|
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: Saharanpur | Statement: [Muzaffarnagar region, nearbyMajorCity, Saharanpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saharanpur Context triple: [Muzaffarnagar region, nearbyMajorCity, Saharanpur]
-
A.
Saharanpur
chosen
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.
-
B.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
-
C.
Rampur
Rampur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Rampur
Rampur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known historically for its princely state heritage and distinctive Rampuri culture.
-
E.
Yamunanagar
Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e23730888190a827ca5c61c4eed0 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eebe7d008190990482c7d6b512f5 |
completed | March 28, 2026, 3:07 p.m. |
Created at: March 27, 2026, 2:37 p.m.