Triple

T37774414
Position Surface form Disambiguated ID Type / Status
Subject municipal council of Ribemont E941644 entity
Predicate hasAuthorityInArea P156935 FINISHED
Object local taxation within Ribemont LITERAL 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: local taxation within Ribemont | Statement: [municipal council of Ribemont, hasAuthorityInArea, local taxation within Ribemont]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAuthorityInArea
Context triple: [municipal council of Ribemont, hasAuthorityInArea, local taxation within Ribemont]
  • A. hasRoleArea
    Indicates that an entity holds or is associated with a specific functional role within a defined area or domain.
  • B. hasProtectedAreaAuthority
    Indicates that an entity holds official authority or responsibility for managing or overseeing a protected area.
  • C. hasProtectedAreaAccess
    Indicates that an entity is permitted to enter, use, or otherwise access a designated protected area under defined conditions.
  • D. isInArea
    Indicates that one entity is located within the spatial bounds or region defined by another entity.
  • E. hasEnforcementArea chosen
    Indicates that an entity is subject to or associated with a specific geographic or jurisdictional area where certain rules, regulations, or enforcement actions apply.
  • F. None of above.

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_69f76ee4431881908f87e8892a9f39f3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fddd373cdc8190be1b12e70e4deb1f completed May 8, 2026, 12:55 p.m.
PD Predicate disambiguation batch_69fddc6915a88190ad41e379aa3ede13 completed May 8, 2026, 12:51 p.m.
Created at: May 3, 2026, 4:19 p.m.