Triple

T717450
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Cerdagne E55302 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: Cerdagne | Statement: [Occitanie, hasCulturalRegion, Cerdagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerdagne
Context triple: [Occitanie, hasCulturalRegion, Cerdagne]
  • A. Marvejols
    Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
  • B. Céret
    Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
  • C. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • D. Midi-Pyrénées
    Midi-Pyrénées was a former administrative region in southwestern France, centered on Toulouse and known for its diverse landscapes and rich Occitan cultural heritage.
  • E. County of Cerdanya chosen
    The County of Cerdanya was a medieval Catalan Pyrenean county that became an important frontier territory within what later formed the Crown of Aragon.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83709248190bee17ec028b12bae completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:37 p.m.