Triple

T3379065
Position Surface form Disambiguated ID Type / Status
Subject Huguenot rebellions E71136 entity
Predicate location P40 FINISHED
Object Saintonge E153597 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: Saintonge | Statement: [Huguenot rebellions, location, Saintonge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saintonge
Context triple: [Huguenot rebellions, location, Saintonge]
  • A. Saintonge chosen
    Saintonge is a historic coastal region in western France, centered around the town of Saintes and known for its Romanesque heritage and early production of cognac.
  • B. Truyère
    Truyère is a river in south-central France that flows through the Massif Central, known for its deep gorges and hydroelectric dams before joining the Lot River.
  • C. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • D. Vic-sur-Cère
    Vic-sur-Cère is a small spa and holiday town in the Cantal department of south-central France, known for its scenic setting in the Auvergne volcanic region.
  • E. Gascogne
    Gascogne is a historic cultural region in southwestern France known for its Gascon language, rich rural traditions, and distinctive cuisine including Armagnac and foie gras.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344c0698819082d856d8be7f2c18 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:14 p.m.