Triple

T8304176
Position Surface form Disambiguated ID Type / Status
Subject Navigo pass E194419 entity
Predicate usedOn P2367 FINISHED
Object SNCF Transilien network E37920 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: SNCF Transilien network | Statement: [Navigo pass, usedOn, SNCF Transilien network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCF Transilien network
Context triple: [Navigo pass, usedOn, SNCF Transilien network]
  • A. RER Vaud
    RER Vaud is a regional express rail network in the canton of Vaud, Switzerland, providing frequent commuter and regional train services connecting local towns and cities.
  • B. RER network
    The RER network is a rapid transit system of express suburban trains serving Paris and its surrounding metropolitan area, integrating both urban and regional rail services.
  • C. Transilien chosen
    Transilien is the suburban and regional rail network operated by SNCF that serves the Île-de-France (Greater Paris) area.
  • D. RER A
    RER A is one of the main lines of the Paris regional express network, carrying large volumes of commuters and travelers between central Paris and its suburbs.
  • E. Île-de-France tramway network
    The Île-de-France tramway network is the extensive system of modern tram lines serving Paris and its surrounding suburbs, complementing the metro and RER as a key component of the region’s public transport.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8b9f6081909100d1da8a078616 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d8a7eb48190bc1bebc56a46a5b9 completed April 2, 2026, 11:05 a.m.
Created at: March 30, 2026, 5:53 p.m.