Triple

T4368416
Position Surface form Disambiguated ID Type / Status
Subject Chalonnes-sur-Loire E98834 entity
Predicate department P1467 FINISHED
Object Maine-et-Loire E231649 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: Maine-et-Loire | Statement: [Chalonnes-sur-Loire, department, Maine-et-Loire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maine-et-Loire
Context triple: [Chalonnes-sur-Loire, department, Maine-et-Loire]
  • A. Maine-et-Loire chosen
    Maine-et-Loire is a department in western France known for its historic towns, châteaux, and vineyards along the Loire River.
  • B. Mayenne
    Mayenne is a department in northwestern France known for its rural landscapes, historic towns, and location within the former province of Maine.
  • C. Mayenne
    Mayenne is a river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Loire basin.
  • D. Loire-Atlantique
    Loire-Atlantique is a department in western France on the Atlantic coast, known for its capital Nantes and its historic and maritime heritage.
  • E. Poitou
    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.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352034d3881909ed4b2f9eef5e823 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5d4612c8190ac5163d50299f8ab completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:17 p.m.