Triple

T16371634
Position Surface form Disambiguated ID Type / Status
Subject Most E397576 entity
Predicate formerName P65 FINISHED
Object Brüx E41564 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: Brüx | Statement: [Most, formerName, Brüx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brüx
Context triple: [Most, formerName, Brüx]
  • A. Bruges chosen
    Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
  • B. Bruges
    Bruges is a commune in southwestern France, located near the city of Bordeaux in the Gironde department.
  • C. Brussels
    Brussels is a small unincorporated community and town in Door County, Wisconsin, known for its strong Belgian-American heritage.
  • D. Brugg
    Brugg is a historic Swiss town in the canton of Aargau, known for its medieval heritage and strategic location near the confluence of the Aare, Reuss, and Limmat rivers.
  • E. Berl
    Berl is a given name most notably associated with Berl Katznelson, a prominent Labor Zionist leader and ideologue in pre-state Israel.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff420d04819096ff12e08edf2f8b completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc44c508190bf87b437d1447db6 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.