Triple

T10341593
Position Surface form Disambiguated ID Type / Status
Subject AFSJ E243138 entity
Predicate hasAbbreviation P43 FINISHED
Object AFSJ E243138 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: AFSJ | Statement: [AFSJ, hasAbbreviation, AFSJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFSJ
Context triple: [AFSJ, hasAbbreviation, AFSJ]
  • A. AFSJ chosen
    AFSJ is the European Union’s policy framework that governs cooperation on justice, security, border control, and fundamental rights across member states.
  • B. AFS
    AFS is the National Rail station code for Ashford (Surrey) railway station in England.
  • C. JFSA
    JFSA is the primary Japanese government regulator overseeing banking, securities, and insurance markets to ensure the stability and integrity of the country’s financial system.
  • D. AAF
    AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
  • E. AFSA
    AFSA was a U.S. military signals intelligence and cryptologic organization that served as a predecessor to the National Security Agency (NSA).
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a645348190af91450360a9abed completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75070c3ac8190b0d50a93d48c9bd9 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:55 a.m.