Triple

T10645983
Position Surface form Disambiguated ID Type / Status
Subject UB E250835 entity
Predicate abbreviation P43 FINISHED
Object UB unclear NED1 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: UB | Statement: [UB, abbreviation, UB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UB
Context triple: [UB, abbreviation, UB]
  • A. UB
    UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
  • B. UB
    UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
  • C. UB
    UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
  • D. UB
    UB is a major public research university in Romania’s capital, known for its wide range of academic programs and significant contribution to higher education and research in Eastern Europe.
  • E. UB
    UB is the commonly used abbreviation for Universitas Brawijaya, a major public university in Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe120908190ab91c38d57133739 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a580d388190aea5edadd4afc0d1 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:05 p.m.