Triple

T1320171
Position Surface form Disambiguated ID Type / Status
Subject RIBA Award for Library of Birmingham E28198 entity
Predicate locationOfAwardedWork P26975 FINISHED
Object Birmingham E13669 NE FINISHED

How this triple was built (3 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: Birmingham | Statement: [RIBA Award for Library of Birmingham, locationOfAwardedWork, Birmingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Birmingham
Context triple: [RIBA Award for Library of Birmingham, locationOfAwardedWork, Birmingham]
  • A. Birmingham chosen
    Birmingham is a major industrial city in England’s West Midlands, historically significant for its manufacturing heritage and heavy bombing during the Second World War.
  • B. Birmingham
    Birmingham is a major industrial and cultural city in the southern United States, known historically for its steel production and pivotal role in the Civil Rights Movement.
  • C. Manchester
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • D. Manchester
    Manchester is the most populous city in the U.S. state of New Hampshire and a major economic and cultural center for the region.
  • E. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locationOfAwardedWork
Context triple: [RIBA Award for Library of Birmingham, locationOfAwardedWork, Birmingham]
  • A. locationOfAwardingBody
    Indicates the place or venue where the awarding body confers or grants an award.
  • B. positionAwarded
    Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
  • C. awardingCity
    Indicates the city in which an award is formally given or conferred.
  • D. countryOfAwarding
    Indicates the country that officially granted or conferred a particular award, honor, or recognition.
  • E. locationOfWork
    Indicates the place or site where an entity performs its work or carries out its professional activities.
  • F. None of above. chosen

Provenance (5 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c179883c8190b68fbeebb9696982 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce55b5748190b54b8205a735ae89 completed March 8, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69a4beebcb348190964bd7215811942c completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4bfc2134c81909cbaaa151d96e9a8 completed March 1, 2026, 10:37 p.m.
Created at: March 1, 2026, 7:55 p.m.