Triple

T20363590
Position Surface form Disambiguated ID Type / Status
Subject Martel, Poitou E496847 entity
Predicate partOf P40 FINISHED
Object Poitou region NE NERFINISHED

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: Poitou region | Statement: [Martel, Poitou, partOf, Poitou region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poitou region
Context triple: [Martel, Poitou, partOf, Poitou region]
  • A. Poitou chosen
    Poitou is a historical region in western France that was a significant stronghold and cultural center for French Protestants (Huguenots) during the Reformation and subsequent religious conflicts.
  • B. Angoulême region
    The Angoulême region is a historic area in southwestern France centered on the city of Angoulême, known for its medieval heritage and cultural significance.
  • C. Centre-Val de Loire
    Centre-Val de Loire is a central French region known for its Loire Valley châteaux, historic towns, and extensive agricultural landscapes.
  • D. La Région Centrale
    La Région Centrale is an experimental 1971 Canadian film by Michael Snow, renowned for its abstract, machine-controlled camera movements in a remote landscape.
  • E. Puisaye region
    The Puisaye region is a rural area of north-central France known for its forests, lakes, traditional pottery, and historic villages in the Burgundy and Centre-Val de Loire areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6786fd0088190908187ab642344cc completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.