Triple

T7574626
Position Surface form Disambiguated ID Type / Status
Subject Fipa E179329 entity
Predicate neighboringEthnicGroup P11274 FINISHED
Object Bende E296845 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: Bende | Statement: [Fipa, neighboringEthnicGroup, Bende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bende
Context triple: [Fipa, neighboringEthnicGroup, Bende]
  • A. Bende chosen
    Bende is a local government area in southeastern Nigeria known for its predominantly Igbo population and agricultural activities within Abia State.
  • B. Bederiana
    Bederiana is an ancient settlement in the Balkans traditionally identified as the birthplace of the Byzantine emperor Justin I.
  • C. Badiu
    Badiu is an alternative name for Badiu Creole, a Portuguese-based creole language variety spoken in parts of Cape Verde.
  • D. Badînî
    Badînî is a northern Kurdish dialect spoken primarily in parts of Turkey and Iraq, known for its distinct phonology and vocabulary within the Kurmanji branch.
  • E. Busaiteen
    Busaiteen is a coastal town in the Kingdom of Bahrain, located on Muharraq Island and known for its residential neighborhoods and proximity to Bahrain International Airport.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f948e1e08190ad807292365a0c27 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856edb2088190939cee9c5a419c11 completed March 28, 2026, 10:32 p.m.
Created at: March 27, 2026, 3:51 p.m.