Triple

T16073233
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line H E389916 entity
Predicate terminus P388 FINISHED
Object Pontoise station E89741 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: Pontoise station | Statement: [Transilien Line H, terminus, Pontoise station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontoise station
Context triple: [Transilien Line H, terminus, Pontoise station]
  • A. Pontoise station chosen
    Pontoise station is a major railway and RER hub in the northwestern suburbs of Paris, serving as an important terminus and interchange point for regional and suburban trains.
  • B. Meaux station
    Meaux station is a railway station in Meaux, France, serving as a key regional hub for commuter and regional train services northeast of Paris.
  • C. Foch station
    Foch station is an underground metro stop on the Lyon Metro network in Lyon, France, serving passengers on line A.
  • D. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • E. Coulommiers station
    Coulommiers station is a railway terminus in Coulommiers, France, serving as a local commuter hub within the Île-de-France regional 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_69fff798c2a48190b6eccd476a0a396f completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:57 a.m.