Triple

T15670315
Position Surface form Disambiguated ID Type / Status
Subject Bank of Central African States E377291 entity
Predicate memberOf P10 FINISHED
Object Franc Zone E853692 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: Franc Zone | Statement: [Bank of Central African States, memberOf, Franc Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franc Zone
Context triple: [Bank of Central African States, memberOf, Franc Zone]
  • A. Franc Zone chosen
    The Franc Zone is a monetary union of several African countries that share common currencies guaranteed by the French Treasury, facilitating economic stability and integration with France.
  • B. Zona
    Zona is the former name of the city now known as Davie in Broward County, Florida.
  • C. Zona A
    Zona A was the Allied-administered western sector of the Free Territory of Trieste, encompassing the city of Trieste and surrounding areas after World War II.
  • D. Zone 9
    Zone 9 is one of the outermost public transport fare zones in the London area, covering distant suburban and commuter regions beyond the central city.
  • E. Special Zone
    Special Zone is a hidden, extra-difficult set of bonus levels in Super Mario World that offers unique challenges and unlocks game changes upon completion.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1254508190a77a16b7bfd299ad completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a431208190b7e0d1eefd55504a completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.