Triple

T16070886
Position Surface form Disambiguated ID Type / Status
Subject Rohtak division E389855 entity
Predicate hasSettlement P1068 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: [Rohtak division, hasSettlement, Sonipat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonipat
Context triple: [Rohtak division, hasSettlement, 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. Baddi
    Baddi is an industrial town in the Solan district of Himachal Pradesh, India, known for its large concentration of pharmaceutical and manufacturing units.
  • D. 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.
  • E. Anupgarh
    Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183be909c8190ac6c37ab047151ae completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec4d9808190a3d1bfc8f3d73168 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 4:57 a.m.