Triple

T10135511
Position Surface form Disambiguated ID Type / Status
Subject Tanger-Ville railway station E226844 entity
Predicate ownedBy P347 FINISHED
Object ONCF E414784 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: ONCF | Statement: [Tanger-Ville railway station, ownedBy, ONCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ONCF
Context triple: [Tanger-Ville railway station, ownedBy, ONCF]
  • A. ONCF chosen
    ONCF (Office National des Chemins de Fer) is Morocco’s national state-owned railway company, responsible for operating the country’s passenger and freight rail services, including high-speed lines.
  • B. SNCF Réseau
    SNCF Réseau is the French state-owned rail infrastructure manager responsible for operating, maintaining, and developing France’s national railway network.
  • C. 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.
  • D. SNCF Fret
    SNCF Fret is the freight division of the French national railway company SNCF, responsible for cargo and goods transport by rail across France and into neighboring countries.
  • E. OUIGO
    OUIGO is a low-cost high-speed train service operated by France’s national railway company SNCF, offering budget-friendly travel on major routes.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde87e1f908190a53865420f2b8f93 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300833e848190affe123d0286db56 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:06 p.m.