Triple

T17070924
Position Surface form Disambiguated ID Type / Status
Subject SNCF TER E414215 entity
Predicate areaServed P82 FINISHED
Object French regions E206984 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: French regions | Statement: [SNCF TER, areaServed, French regions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French regions
Context triple: [SNCF TER, areaServed, French regions]
  • A. French regions chosen
    French regions are the primary administrative and territorial divisions of France, each grouping several departments under a regional council for governance and planning.
  • B. Hauts-de-France
    Hauts-de-France is a region in northern France known for its industrial heritage, coastal areas along the English Channel, and proximity to Belgium and the United Kingdom.
  • C. Cap-Français region
    The Cap-Français region was a prominent colonial area in northern Saint-Domingue (now Haiti), centered on the port city of Cap-Français, which served as a major economic and administrative hub of French rule in the Caribbean.
  • D. Île-de-France region
    Île-de-France is the most populous and economically significant region of France, encompassing Paris and its surrounding metropolitan area.
  • E. cantons of France
    The cantons of France are territorial subdivisions within departments that primarily serve as constituencies for the election of departmental councilors and as administrative units for organizing local public services.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc0982c8190916f9905ddb5e575 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edbce988190a784448ba8a258a5 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.