Triple

T10318388
Position Surface form Disambiguated ID Type / Status
Subject Channel Dash E242077 entity
Predicate startPoint P389 FINISHED
Object Brest, France E53827 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: Brest, France | Statement: [Channel Dash, startPoint, Brest, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brest, France
Context triple: [Channel Dash, startPoint, Brest, France]
  • A. Brest chosen
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • B. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • C. Villeblevin, France
    Villeblevin, France is a small commune in north-central France best known as the place where Nobel Prize–winning writer Albert Camus died in a car accident.
  • D. Nice, France
    Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
  • E. Pontchâteau, France
    Pontchâteau is a commune in western France’s Loire-Atlantique department, known for its historic religious sites and its location between Nantes and Vannes.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35e019081909cc296d73227a3ed completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75036ed008190aee48695ad7f857d completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:49 a.m.