Triple

T1841556
Position Surface form Disambiguated ID Type / Status
Subject Paris Metro E41186 entity
Predicate connectsWith P37 FINISHED
Object Orlyval E14727 NE 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: Orlyval | Statement: [Paris Metro, connectsWith, Orlyval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlyval
Context triple: [Paris Metro, connectsWith, Orlyval]
  • A. Orlyval chosen
    Orlyval is an automated light rail shuttle service in the Paris region that links Orly Airport to the broader RER and metro network.
  • B. Concourse Line
    The Concourse Line is a New York City Subway line in the Bronx, primarily served by the B and D trains and running along the Grand Concourse corridor.
  • C. Montreal Metro
    The Montreal Metro is the rubber-tired rapid transit system serving the city of Montreal and its surrounding areas, known for its extensive underground network and distinctively designed stations.
  • D. Pink Line
    The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
  • E. Pink Line
    Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03e7a7481909c5b902034390ef1 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9bb92a88190a00b102d3be0383c completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.