Triple

T6052866
Position Surface form Disambiguated ID Type / Status
Subject ASBU E134834 entity
Predicate hasAcronym P43 FINISHED
Object ASBU E134834 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: ASBU | Statement: [ASBU, hasAcronym, ASBU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASBU
Context triple: [ASBU, hasAcronym, ASBU]
  • A. ASBU chosen
    ASBU is the commonly used abbreviation for the Arab States Broadcasting Union, a professional organization that coordinates and supports radio and television broadcasters across the Arab world.
  • B. ABJ
    ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
  • C. ABCL
    ABCL (Armed Bear Common Lisp) is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine, enabling interoperability with Java code.
  • D. SAOB
    SAOB is the standard historical dictionary of the Swedish language, published by the Swedish Academy.
  • E. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f92b408190b0075766aad315d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113ac051c8190b2b8a4985948d8e0 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.