Triple

T35596883
Position Surface form Disambiguated ID Type / Status
Subject Sitarganj E1028656 entity
Predicate administrativeDistrictHQ P193369 FINISHED
Object Rudrapur 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: Rudrapur | Statement: [Sitarganj, administrativeDistrictHQ, Rudrapur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeDistrictHQ
Context triple: [Sitarganj, administrativeDistrictHQ, Rudrapur]
  • A. administrativeHeadquarterTown chosen
    Indicates the town that serves as the administrative headquarters for a given entity, such as an organization or territorial unit.
  • B. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • C. administrativeHeadquarter
    Indicates the location that serves as the main administrative center or headquarters for an organization or governing body.
  • D. districtHeadquartersSince
    Indicates the time from which a particular location has served as the administrative headquarters of a specified district.
  • E. headquartersMunicipality
    Indicates the municipality in which an organization’s main administrative headquarters is located.
  • F. None of above.

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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe189fec148190aeef51b417ba15b0 completed May 8, 2026, 5:08 p.m.
PD Predicate disambiguation batch_69fe17285b0881908de7569d8dbd20bd completed May 8, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:05 p.m.