Triple

T20821691
Position Surface form Disambiguated ID Type / Status
Subject Bareilly district E512589 entity
Predicate hasTown P847 FINISHED
Object Baheri 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: Baheri | Statement: [Bareilly district, hasTown, Baheri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baheri
Context triple: [Bareilly district, hasTown, Baheri]
  • A. Baheri chosen
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • B. Bahri
    Bahri was a top-class Thoroughbred racehorse and successful stallion known for his performances in European flat racing.
  • C. Bahri
    Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • D. Marineo
    Marineo is a small historic town in Sicily, Italy, known for its traditional architecture and scenic location near the Eleuterio River and the Ficuzza wood.
  • E. Deniz
    Deniz is a common Turkish given name used for both males and females, meaning "sea."
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f7a1548190b6ef3f1cfad37c1c completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.