Triple

T21557613
Position Surface form Disambiguated ID Type / Status
Subject Koura E531933 entity
Predicate hasTown P847 FINISHED
Object Bdebba 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: Bdebba | Statement: [Koura, hasTown, Bdebba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bdebba
Context triple: [Koura, hasTown, Bdebba]
  • A. Bdebba chosen
    Bdebba is a town located in the Koura District of the North Governorate in Lebanon, known for its rural character and Mediterranean setting.
  • B. Debbah
    Debbah is a surname most notably associated with James Debbah, a Liberian former professional footballer and national team striker.
  • C. Dedebaba
    Dedebaba is the supreme spiritual leader of the Bektashi Sufi order, overseeing its religious guidance and organizational affairs.
  • D. Badie
    Badie is a surname most notably associated with American actress Mina Badie.
  • E. Bab Berdieyinne
    Bab Berdieyinne is a historic city gate in Meknes, Morocco, notable as part of the fortified entrances to the old medina.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e14af88190bc70b4d0f3453aac completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.