Triple

T8304085
Position Surface form Disambiguated ID Type / Status
Subject Line R E194417 entity
Predicate partOf P40 FINISHED
Object Transilien 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: Transilien | Statement: [Line R, partOf, Transilien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transilien
Context triple: [Line R, partOf, Transilien]
  • A. Transilien chosen
    Transilien is the suburban and regional rail network operated by SNCF that serves the Île-de-France (Greater Paris) area.
  • B. Transilien Line U
    Transilien Line U is a Paris suburban rail line operated by SNCF that connects La Défense to La Verrière via key stations such as Versailles-Chantiers.
  • C. Transilien line D
    Transilien line D is a major commuter rail line in the Paris regional network, connecting northern and southern suburbs through central Paris as part of the Île-de-France public transport system.
  • D. Transilien Line R
    Transilien Line R is a suburban rail line in the Île-de-France region serving southeastern Paris and its outer suburbs as part of the Transilien network operated by SNCF.
  • E. Transilien Line N
    Transilien Line N is a suburban rail line in the Île-de-France region operated by SNCF, connecting Paris-Montparnasse to several southwestern suburbs and towns including Versailles and Rambouillet.
  • 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_69cea7f7060c81908ad70682063c66f1 completed April 2, 2026, 5:31 p.m.
Created at: March 30, 2026, 5:53 p.m.