Triple

T20724959
Position Surface form Disambiguated ID Type / Status
Subject Belfry of Bruges E509409 entity
Predicate ownedBy P347 FINISHED
Object City of Bruges NE NERFINISHED

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: City of Bruges | Statement: [Belfry of Bruges, ownedBy, City of Bruges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bruges
Context triple: [Belfry of Bruges, ownedBy, City of Bruges]
  • A. City of Bruges chosen
    The City of Bruges is a historic Flemish city in present-day Belgium, renowned for its medieval architecture, canals, and role as a major commercial and cultural center in the Low Countries.
  • B. Kontor of Bruges
    The Kontor of Bruges was a major Hanseatic trading outpost in medieval Bruges that served as a central hub for northern European commerce.
  • C. Street of the Knights
    Street of the Knights is a well-preserved medieval thoroughfare in Rhodes, Greece, famed for its Gothic architecture and historic inns of the Knights Hospitaller.
  • D. Bruges-la-Morte
    Bruges-la-Morte is a symbolist novel by Georges Rodenbach that portrays a widower’s obsessive mourning in the melancholic, death-haunted city of Bruges.
  • E. The Burghers
    The Burghers is a poem by Thomas Hardy that reflects his characteristic blend of social observation, irony, and psychological insight into ordinary townspeople.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e662f08190917ee043612d413e completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:29 p.m.