Triple

T215673
Position Surface form Disambiguated ID Type / Status
Subject Allier department E4815 entity
Predicate subprefecture P9697 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, subprefecture, Vichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vichy
Context triple: [Allier department, subprefecture, 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. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • D. 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.
  • E. Strasbourg
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • 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: subprefecture
Context triple: [Allier department, subprefecture, Vichy]
  • A. hasPrefecture
    Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
  • B. specialMunicipality
    Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
  • C. isSubProvincialCity
    Indicates that a city holds a sub-provincial administrative status, ranking below a province but above ordinary prefecture-level cities in the governmental hierarchy.
  • D. district
    Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
  • E. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • F. None of above. chosen

Provenance (5 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_69a4176e25408190a99d70dec4919f39 completed March 1, 2026, 10:39 a.m.
PD Predicate disambiguation batch_69a25b52190481908f299d26122bafd2 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25dcba5148190ab80fd14c7cf4bb4 completed Feb. 28, 2026, 3:15 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.