Triple
T3813157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Capital Region |
E93183
|
entity |
| Predicate | containsCity |
P294
|
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: [National Capital Region, containsCity, Sonipat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonipat Context triple: [National Capital Region, containsCity, 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.
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.
-
E.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee8dd315481908bef595b56a4f0cb |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c732504819087ccfd22ac6ab1c8 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:16 p.m.