Triple

T13958468
Position Surface form Disambiguated ID Type / Status
Subject Bordeaux Métropole E335728 entity
Predicate contains P35 FINISHED
Object Bruges E881390 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: Bruges | Statement: [Bordeaux Métropole, contains, Bruges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruges
Context triple: [Bordeaux Métropole, contains, Bruges]
  • A. Bruges chosen
    Bruges is a commune in southwestern France, located near the city of Bordeaux in the Gironde department.
  • B. Bruges
    Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
  • C. Ghent
    Ghent is a historic city in the Flemish region of Belgium, known for its medieval architecture, canals, and role as a major cultural and economic center in the Middle Ages.
  • D. Ghent
    Ghent is a small unincorporated community and ski-area destination located in Raleigh County, West Virginia, United States.
  • E. Maastricht
    Maastricht is a historic city in the southeastern Netherlands known for its medieval architecture, vibrant cultural scene, and as the birthplace of the Maastricht Treaty that founded the European Union.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7a34f08190aa0d88b66154f268 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6474da3081909be6b892ef8cc73e completed May 8, 2026, 4:20 a.m.
Created at: April 9, 2026, 10:17 p.m.