Triple

T31107481
Position Surface form Disambiguated ID Type / Status
Subject Cristolienne E792836 entity
Predicate associatedWithSuburbType P143331 FINISHED
Object southeastern suburb of Paris 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: southeastern suburb of Paris | Statement: [Cristolienne, associatedWithSuburbType, southeastern suburb of Paris]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithSuburbType
Context triple: [Cristolienne, associatedWithSuburbType, southeastern suburb of Paris]
  • A. associatedWithSuburb
    Indicates a relationship where something is linked or connected to a particular suburb, such as being located in, serving, or otherwise related to that suburb.
  • B. locatedInSuburbType chosen
    Indicates that one entity is situated within, or belongs to, a specific type or category of suburb associated with the other entity.
  • C. associatedWithSubdivision
    Indicates that one entity has a connection or linkage to a specific administrative or organizational subdivision.
  • D. connectsToSuburb
    Indicates that one entity has a direct connection or link to a suburban area, such as via transport, infrastructure, or adjacency.
  • E. connectsSuburbWith
    Indicates a relationship where something (such as a route, service, or infrastructure) links or provides direct access between a suburb and another place or area.
  • 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_69f224cfd5d881908ec6447bc321cd58 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e5174c8190a0bdde7e381b7624 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 9:03 p.m.