Triple

T17990321
Position Surface form Disambiguated ID Type / Status
Subject Count of Maine E430348 entity
Predicate governs P760 FINISHED
Object Le Mans 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: Le Mans region | Statement: [Count of Maine, governs, Le Mans region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Mans region
Context triple: [Count of Maine, governs, Le Mans region]
  • A. 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.
  • B. Marmande region
    The Marmande region is an agricultural area in southwestern France, renowned for its tomato production and situated along the Garonne River.
  • C. Le Mans metropolitan area chosen
    The Le Mans metropolitan area is an urban and economic hub in western France centered on the city of Le Mans, renowned for its automotive industry and the 24 Hours of Le Mans endurance race.
  • D. Reims region
    The Reims region is an area in northeastern France centered around the historic city of Reims, known for its World War I battlefields and its role in the Champagne wine-producing area.
  • E. 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.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.