Triple

T8432400
Position Surface form Disambiguated ID Type / Status
Subject MF 01 E199145 entity
Predicate operator P179 FINISHED
Object RATP E27062 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: RATP | Statement: [MF 01, operator, RATP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RATP
Context triple: [MF 01, operator, RATP]
  • A. RATP group chosen
    RATP Group is a major French public transport operator that manages much of the Paris metro, tram, and bus networks and provides transit services internationally.
  • B. Compagnie du chemin de fer métropolitain de Paris
    Compagnie du chemin de fer métropolitain de Paris was the original private company responsible for building and operating the Paris Métro in the early 20th century.
  • C. Île-de-France Mobilités
    Île-de-France Mobilités is the public agency responsible for organizing, coordinating, and funding public transportation services across the Paris metropolitan region.
  • D. RATP bus network
    The RATP bus network is the extensive system of urban and suburban bus lines operated by the Paris public transport authority, serving Paris and its surrounding Île-de-France region.
  • E. Transilien
    Transilien is the suburban and regional rail network operated by SNCF that serves the Île-de-France (Greater Paris) area.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a5d7488190842e246444fc9a4e completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d673ed48190abf765c203ed2a0f completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.