Triple

T15180950
Position Surface form Disambiguated ID Type / Status
Subject Lantosque E362740 entity
Predicate hasDemonym P191 FINISHED
Object Lantosquois E362740 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: Lantosquois | Statement: [Lantosque, hasDemonym, Lantosquois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lantosquois
Context triple: [Lantosque, hasDemonym, Lantosquois]
  • A. Lantosque chosen
    Lantosque is a small picturesque commune in southeastern France, nestled in the Vésubie Valley of the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • B. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • C. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • D. Plerguer
    Plerguer is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
  • E. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00664caac81909bee1268264769f8 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89210e081909e8077fa2487c40e completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.