Triple

T4015271
Position Surface form Disambiguated ID Type / Status
Subject Karnal district E90740 entity
Predicate legislativeAssemblyConstituency P23217 FINISHED
Object Nilokheri E415655 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: Nilokheri | Statement: [Karnal district, legislativeAssemblyConstituency, Nilokheri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilokheri
Context triple: [Karnal district, legislativeAssemblyConstituency, Nilokheri]
  • A. Nilokheri chosen
    Nilokheri is a town in the Karnal district of Haryana, India, known for its agricultural surroundings and local educational institutions.
  • B. Barwala
    Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • C. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • D. Rupnagar
    Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
  • E. Sonipat
    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.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589ccd0a48190b98dbe7268df678f completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:35 p.m.