Triple

T33367686
Position Surface form Disambiguated ID Type / Status
Subject Ependes (FR) E854399 entity
Predicate hasMunicipalityTypeCode P3943 FINISHED
Object FR 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: FR | Statement: [Ependes (FR), hasMunicipalityTypeCode, FR]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalityTypeCode
Context triple: [Ependes (FR), hasMunicipalityTypeCode, FR]
  • A. hasMunicipalityType
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • B. hasMunicipalityCode chosen
    Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
  • C. hasMunicipalCodeJurisdiction
    Indicates that an authority or entity holds official legal or regulatory power within a specific municipal code area or jurisdiction.
  • D. hasMunicipalCodeAuthority
    Indicates that an entity has the official power or jurisdiction to create, adopt, or enforce municipal codes, ordinances, or regulations.
  • E. hasMunicipalAgencyType
    Indicates that a municipal agency is classified as having a specific organizational or functional type.
  • 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_69f3496bda8c8190bfc8fade9d1b791c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
Created at: May 1, 2026, 1:35 a.m.