Triple

T215675
Position Surface form Disambiguated ID Type / Status
Subject Allier department E4815 entity
Predicate historicTown P1098 FINISHED
Object Moulins E29623 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: Moulins | Statement: [Allier department, historicTown, Moulins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moulins
Context triple: [Allier department, historicTown, Moulins]
  • A. Moulins chosen
    Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • B. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • C. Vaux
    Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
  • D. Chamonix
    Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
  • E. Prévessin-Moëns
    Prévessin-Moëns is a French commune in the Ain department of eastern France, located near Geneva and known for its proximity to the CERN research center.
  • 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: historicTown
Context triple: [Allier department, historicTown, Moulins]
  • A. historicalStronghold
    Indicates that a location has historically served as a fortified center of power, defense, or control for a group or authority.
  • B. hasHistoricCity
    Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
  • C. historicallyInhabitedBy
    Indicates that a place or region was inhabited by a particular group or population during some period in the past.
  • D. isHistoricPlace
    Indicates that a place holds recognized historical significance, often due to its age, events, or cultural importance.
  • E. hasHistoricSite chosen
    Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
  • 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_69a36730f0a88190aac3d2e796ee544f completed Feb. 28, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69a25b52190481908f299d26122bafd2 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.