Triple

T19407428
Position Surface form Disambiguated ID Type / Status
Subject Sant Kabir Nagar E485497 entity
Predicate legislativeAssemblyConstituency P23217 FINISHED
Object Khalilabad 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: Khalilabad | Statement: [Sant Kabir Nagar, legislativeAssemblyConstituency, Khalilabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khalilabad
Context triple: [Sant Kabir Nagar, legislativeAssemblyConstituency, Khalilabad]
  • A. Khalilabad chosen
    Khalilabad is a town in the Indian state of Uttar Pradesh that serves as the administrative headquarters of Sant Kabir Nagar district.
  • B. Khanabad
    Khanabad is a village in the Lower Hunza region of northern Pakistan, situated in the mountainous Hunza Valley of Gilgit-Baltistan.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. Nasirabad
    Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
  • E. Nasirabad
    Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257bad0c819088dd7729b6a36a94 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.