Triple

T1500875
Position Surface form Disambiguated ID Type / Status
Subject Franklin D. Roosevelt E29792 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: [Franklin D. Roosevelt, operator, RATP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RATP
Context triple: [Franklin D. Roosevelt, 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. 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.
  • C. 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.
  • D. Transilien
    Transilien is the suburban and regional rail network operated by SNCF that serves the Île-de-France (Greater Paris) area.
  • E. SNCF
    SNCF is France’s national state-owned railway company, responsible for operating the country’s passenger and freight rail services and much of its rail infrastructure.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f2d7f881909188a3e5614335cd completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2945360c8190b20dfdf2f7be4fea completed March 8, 2026, 7:46 a.m.
Created at: March 1, 2026, 8:12 p.m.