Triple
T18290868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kundli industrial area |
E438108
|
entity |
| Predicate | proximityTo |
P350
|
FINISHED |
| Object | Sonipat city |
—
|
NE NERFINISHED |
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 city | Statement: [Kundli industrial area, proximityTo, Sonipat city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonipat city Context triple: [Kundli industrial area, proximityTo, Sonipat city]
-
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.
Sirsa
Sirsa is a city in the Indian state of Haryana, known as a regional commercial and administrative center near the Rajasthan and Punjab borders.
-
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.
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.
Rampur
Rampur is a town located in Nepal's Palpa District, known as one of the local settlements in the hilly western region of the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fee5248190928e68ddaa4d90d7 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.