Triple

T15548224
Position Surface form Disambiguated ID Type / Status
Subject Félix de Vandenesse E370668 entity
Predicate settingAssociated P44691 FINISHED
Object Touraine E24522 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: Touraine | Statement: [Félix de Vandenesse, settingAssociated, Touraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Touraine
Context triple: [Félix de Vandenesse, settingAssociated, Touraine]
  • A. Touraine chosen
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • B. Grands-Ponts Region
    Grands-Ponts Region is an administrative region in southern Ivory Coast known for its coastal location and inclusion within the larger Lagunes District.
  • C. 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.
  • D. Dauphiné region
    The Dauphiné region is a historical area in southeastern France, centered around Grenoble and the Alps, known for its mountainous landscapes and role as a traditional stage for major cycling events.
  • E. French Lorraine
    French Lorraine is a historical region in northeastern France whose culture reflects a blend of French and Germanic influences.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455c172c8190833274cb98667e84 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.