Triple

T9251901
Position Surface form Disambiguated ID Type / Status
Subject Goukouni Oueddei E222344 entity
Predicate politicalMovement P496 FINISHED
Object FROLINAT E783524 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: FROLINAT | Statement: [Goukouni Oueddei, politicalMovement, FROLINAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FROLINAT
Context triple: [Goukouni Oueddei, politicalMovement, FROLINAT]
  • A. FROLINAT chosen
    FROLINAT was a Chadian rebel organization formed in the 1960s that sought to overthrow the central government and played a major role in the country’s early civil conflicts.
  • B. La Foa
    La Foa is a small commune in the South Province of New Caledonia, known for its rural character and role as an administrative and service center for the surrounding region.
  • C. Betancourt
    Betancourt is a Spanish-language surname most notably associated with Rómulo Betancourt, a key figure in Venezuelan democratic politics.
  • D. Faoug
    Faoug is a small Swiss village in the canton of Vaud, situated on the southern shore of Lake Murten and known for its lakeside setting and recreational opportunities.
  • E. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05fb1454819098f452846ca4ca61 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0780650648190bc85452678268134 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.