Triple

T215677
Position Surface form Disambiguated ID Type / Status
Subject Allier department E4815 entity
Predicate spaTown P3883 FINISHED
Object Vichy E1394 NE FINISHED

How this triple was built (3 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: Vichy | Statement: [Allier department, spaTown, Vichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vichy
Context triple: [Allier department, spaTown, Vichy]
  • A. Vichy chosen
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • B. Limoges
    Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
  • C. Saint-Cloud
    Saint-Cloud is a commune just west of Paris, historically notable as the site where Napoleon Bonaparte staged the Coup of 18 Brumaire that ended the French Directory and ushered in his rule.
  • D. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • E. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spaTown
Context triple: [Allier department, spaTown, Vichy]
  • A. spires
    Indicates that one entity rises or tapers upward in a tall, pointed, tower-like form from another entity.
  • B. hasGiftShop
    Indicates that an entity includes or provides access to a gift shop as part of its facilities or services.
  • C. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • D. hasNearbyTown chosen
    Indicates that one location has a town situated close to it in geographic proximity.
  • E. homeClub
    Indicates that a particular club is the primary or hosting club associated with a given event, match, or participant.
  • F. None of above.

Provenance (4 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25dcd2b208190855d5d8d70a3acfc completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a47115f39c8190ba77165212479a56 completed March 1, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69a25b52190481908f299d26122bafd2 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.