Triple

T4472879
Position Surface form Disambiguated ID Type / Status
Subject Antony RER station E98535 entity
Predicate servedByService P1294 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: [Antony RER station, servedByService, Orlyval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlyval
Context triple: [Antony RER station, servedByService, 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. Länsimetro
    Länsimetro is a major westward extension of the Helsinki Metro that connects central Helsinki with the neighboring city of Espoo through a series of new underground stations.
  • D. Orléans tramway
    The Orléans tramway is a modern light rail system serving the city of Orléans, France, providing efficient urban and suburban public transportation.
  • E. 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.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356b95c888190a84bf4a9b2c60aa6 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b628764bf081909a7a1079d0176c66 completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.