Triple

T7749922
Position Surface form Disambiguated ID Type / Status
Subject Ubaye Valley E175728 entity
Predicate hasTown P847 FINISHED
Object Barcelonnette E445874 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: Barcelonnette | Statement: [Ubaye Valley, hasTown, Barcelonnette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barcelonnette
Context triple: [Ubaye Valley, hasTown, Barcelonnette]
  • A. Barcelonnette chosen
    Barcelonnette is a small Alpine town in southeastern France known for its picturesque valley setting and historical ties to Mexican emigration.
  • B. Briançon
    Briançon is a fortified alpine town in southeastern France, known as one of the highest cities in Europe and a key historical stronghold near the Italian border.
  • C. Bilhères
    Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
  • D. Digne-les-Bains
    Digne-les-Bains is a spa town in southeastern France that serves as the administrative and cultural center of the Alpes-de-Haute-Provence department.
  • E. Breil-sur-Roya
    Breil-sur-Roya is a picturesque commune in southeastern France, nestled in the Roya Valley near the Italian border and known for its mountainous landscapes and historic village center.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b13af08190b110104fe96ef91e completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6c06f54819096162e84180918ba completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:08 p.m.