Triple

T10044794
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Bayonne E207587 entity
Predicate contains P35 FINISHED
Object Mauléon-Licharre E627045 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: Mauléon-Licharre | Statement: [arrondissement of Bayonne, contains, Mauléon-Licharre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauléon-Licharre
Context triple: [arrondissement of Bayonne, contains, Mauléon-Licharre]
  • A. Mauléon-Licharre chosen
    Mauléon-Licharre is a historic small town in the French Basque Country, known as a traditional center of espadrille production and Basque culture.
  • B. Orthez
    Orthez is a historic town in southwestern France’s Pyrénées-Atlantiques department, known for its medieval architecture and its role in the Napoleonic Wars.
  • C. Monsaraz
    Monsaraz is a historic hilltop village in Portugal’s Alentejo region, renowned for its medieval walls, whitewashed houses, and panoramic views over the Alqueva reservoir.
  • D. Argelès-Gazost
    Argelès-Gazost is a small spa and tourist town in southwestern France, nestled in the Pyrenees and serving as a gateway to nearby mountain valleys and national parks.
  • E. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf62ecf081909c055171b78a883a completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282801c548190b6031bdde17f6e14 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:56 p.m.