Triple

T9821262
Position Surface form Disambiguated ID Type / Status
Subject Eure-et-Loir E238535 entity
Predicate locatedIn P40 FINISHED
Object Perche E258304 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: Perche | Statement: [Eure-et-Loir, locatedIn, Perche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perche
Context triple: [Eure-et-Loir, locatedIn, Perche]
  • A. Perche chosen
    Perche is a historic rural region in northwestern France known for its rolling countryside, forests, and traditional manors.
  • B. Pero
    Pero is a West Chadic language spoken in parts of Nigeria.
  • C. Pero
    Pero is a common South Slavic diminutive form of the male given name Petar (Peter).
  • D. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • E. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc78ffcc8190bb26a224350376dc completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.