Triple

T15092130
Position Surface form Disambiguated ID Type / Status
Subject Ternes E360444 entity
Predicate municipalBorough P24088 FINISHED
Object 17th arrondissement town hall jurisdiction 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: 17th arrondissement town hall jurisdiction | Statement: [Ternes, municipalBorough, 17th arrondissement town hall jurisdiction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalBorough
Context triple: [Ternes, municipalBorough, 17th arrondissement town hall jurisdiction]
  • A. parliamentaryBoroughType
    Indicates the specific classification or category of a parliamentary borough within a parliamentary or electoral system.
  • B. boroughOf chosen
    Indicates that one place is a borough that is administratively or geographically part of another, typically larger, municipal entity.
  • C. partOfMetropolitanBorough
    Indicates that one administrative area is contained within and governed as part of a specific metropolitan borough.
  • D. isMetropolitanBorough
    Indicates that an entity functions as a metropolitan borough, i.e., a local government district within a large urban area that has borough status.
  • E. containsMetropolitanBorough
    Indicates that an administrative area includes within its boundaries one or more metropolitan boroughs as subordinate units.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69deb9645b9c8190a5712456dbd78029 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:04 a.m.