Triple

T16073234
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line H E389916 entity
Predicate terminus P388 FINISHED
Object Luzarches station E726439 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: Luzarches station | Statement: [Transilien Line H, terminus, Luzarches station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzarches station
Context triple: [Transilien Line H, terminus, Luzarches station]
  • A. Luzarches station chosen
    Luzarches station is a railway terminus in the Val-d'Oise department of northern France, serving as the endpoint of a Transilien suburban line from Paris.
  • B. Luz Station
    Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
  • C. Loria station
    Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
  • D. Misterios station
    Misterios station is a Mexico City Metro station on Line 5, named after the nearby Calzada de los Misterios and serving passengers in the northern part of the city.
  • E. Lison station
    Lison station is a railway station in Normandy, France, serving as a regional junction on the French rail network.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0390c8190b0da263cccec14e5 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe484cef08190a3797c91a7025081 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.