Triple
T4419867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonipat district |
E95070
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sonipat |
E340091
|
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: Sonipat | Statement: [Sonipat district, hasCity, Sonipat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonipat Context triple: [Sonipat district, hasCity, Sonipat]
-
A.
Sonipat
chosen
Sonipat is a rapidly developing city in the northern Indian state of Haryana that forms part of the extended urban and economic area around Delhi.
-
B.
Bhind
Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
-
C.
Etawah
Etawah is a city in the Indian state of Uttar Pradesh, known for its location near the Chambal ravines and as an important regional administrative and transportation center.
-
D.
Palwal
Palwal is a city in the Indian state of Haryana that forms part of the extended urban area surrounding Delhi.
-
E.
Sheopur
Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551fae7c8190abafda0d78f02d89 |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627f1a7a0819087652c3599855274 |
completed | March 15, 2026, 3:30 a.m. |
Created at: March 12, 2026, 11:29 p.m.