Triple

T33074851
Position Surface form Disambiguated ID Type / Status
Subject Havre–Caumartin (Paris Métro) E846330 entity
Predicate partOfInterchangeComplexWith P84508 FINISHED
Object Auber (RER) station NE NERFINISHED

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: Auber (RER) station | Statement: [Havre–Caumartin (Paris Métro), partOfInterchangeComplexWith, Auber (RER) station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfInterchangeComplexWith
Context triple: [Havre–Caumartin (Paris Métro), partOfInterchangeComplexWith, Auber (RER) station]
  • A. isPartOfInterchangeComplex chosen
    Indicates that one transportation facility or component belongs to and functions within a larger interchange complex.
  • B. isInterchangeWith
    Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
  • C. hasInterchangesWith
    Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
  • D. isInterchange
    Indicates that two entities can be substituted or exchanged for one another without affecting the relevant system, function, or outcome.
  • E. isInterchangeBetween
    Indicates a relationship where something serves as a point or medium through which two or more entities can exchange or transfer items, information, or traffic between each other.
  • 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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ffdd05d1908190957deb11392f4595 completed May 10, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69ffdc0d33c881908b3483bee8a96540 completed May 10, 2026, 1:14 a.m.
Created at: May 1, 2026, 1:25 a.m.