Triple

T21557614
Position Surface form Disambiguated ID Type / Status
Subject Koura E531933 entity
Predicate hasTown P847 FINISHED
Object Bkeftine 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: Bkeftine | Statement: [Koura, hasTown, Bkeftine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bkeftine
Context triple: [Koura, hasTown, Bkeftine]
  • A. Bkeftine chosen
    Bkeftine is a village located in the Koura District of northern Lebanon, known for its rural character and olive groves.
  • B. Bunefer
    Bunefer was an ancient Egyptian queen of the late Fourth Dynasty, likely known from her tomb at Giza and associated with the royal family of that period.
  • C. Vimodrone
    Vimodrone is a municipality in the Metropolitan City of Milan in northern Italy, known as a residential and industrial suburb within the Milan urban area.
  • D. Kyben
    The Kyben are a hostile alien species from the science fiction story "Demon with a Glass Hand," known for their conflict with humanity and pursuit of advanced technology.
  • E. Betalbatim
    Betalbatim is a tranquil coastal village in South Goa, India, known for its clean, less-crowded beach and scenic sunsets.
  • 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.