Triple

T16427228
Position Surface form Disambiguated ID Type / Status
Subject Louis de Bonald E398974 entity
Predicate birthPlace P1 FINISHED
Object Rouergue E111644 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: Rouergue | Statement: [Louis de Bonald, birthPlace, Rouergue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rouergue
Context triple: [Louis de Bonald, birthPlace, Rouergue]
  • A. Rouergue chosen
    Rouergue is a historic cultural region in southern France, centered around the present-day Aveyron department and known for its rural landscapes, medieval towns, and Occitan heritage.
  • B. Drôme
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • C. Languedoc
    Languedoc is a historic region in southern France known for its Occitan culture, medieval towns, and long-standing wine-making tradition.
  • D. Pays de Lyons
    Pays de Lyons is a historic and heavily forested natural region in Normandy, France, centered around the Lyons-la-Forêt area and its surrounding villages.
  • E. 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.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fb6cd881908fb6cd1c60f5ac3c completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058143cb88190943b951cc8e47a66 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:09 a.m.