Triple

T5158104
Position Surface form Disambiguated ID Type / Status
Subject Juvisy-sur-Orge E116363 entity
Predicate isSuburbanResidentialArea P62289 FINISHED
Object true 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: true | Statement: [Juvisy-sur-Orge, isSuburbanResidentialArea, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSuburbanResidentialArea
Context triple: [Juvisy-sur-Orge, isSuburbanResidentialArea, true]
  • A. isInSuburbanArea
    Indicates that something is located within a suburban area, typically between urban and rural regions.
  • B. isSuburbanCommunity
    Indicates that a community is located in a suburban area, typically characterized by residential neighborhoods situated between urban centers and rural regions.
  • C. isResidentialSuburbOf
    Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
  • D. isSuburbanCommunityIn
    Indicates that a suburban community is located within or belongs to a specified larger geographic or administrative area.
  • E. isSuburbanCounty
    Indicates that a county is classified as suburban, typically lying outside a central city and characterized by intermediate population density and development.
  • F. None of above. chosen

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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c1354c81908176703b4853c1a4 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b0fbb88190851e2d7ae1bdcc09 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd79bf9b088190a556dc02f10204e4 completed March 20, 2026, 4:45 p.m.
Created at: March 20, 2026, 1:44 p.m.