Triple

T11903118
Position Surface form Disambiguated ID Type / Status
Subject Narmadapuram district E283205 entity
Predicate hasAdministrativeHeadquarters P1474 FINISHED
Object Narmadapuram E952182 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: Narmadapuram | Statement: [Narmadapuram district, hasAdministrativeHeadquarters, Narmadapuram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narmadapuram
Context triple: [Narmadapuram district, hasAdministrativeHeadquarters, Narmadapuram]
  • A. Narmadapuram chosen
    Narmadapuram is a city in the central Indian state of Madhya Pradesh, situated on the banks of the Narmada River and serving as an important regional administrative and cultural center.
  • B. Naupada
    Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
  • C. Avaniapuram
    Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
  • D. Narsapur
    Narsapur is a prominent town in Telangana, India, known as one of the major urban centers of Medak district.
  • E. Punganur
    Punganur is a town in the Chittoor district of Andhra Pradesh, India, known for its agricultural market and the indigenous Punganur dwarf cattle breed.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1792648190853f15fbf217eebd completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f44004b454819091b41bac99895106 completed May 1, 2026, 5:54 a.m.
Created at: April 8, 2026, 9:44 p.m.