Triple

T4308968
Position Surface form Disambiguated ID Type / Status
Subject International Baccalaureate Organization E94025 entity
Predicate alsoKnownAs P39 FINISHED
Object IB E116594 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: IB | Statement: [International Baccalaureate Organization, alsoKnownAs, IB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IB
Context triple: [International Baccalaureate Organization, alsoKnownAs, IB]
  • A. IB chosen
    IB is a high-speed, low-latency computer networking and interconnect technology widely used in supercomputing and data centers.
  • B. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • C. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • D. UB
    UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
  • E. 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.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d40748819084798058396be113 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c759b65081909b02db56febbc484 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:11 p.m.