Triple

T15523534
Position Surface form Disambiguated ID Type / Status
Subject AFSA E369026 entity
Predicate abbreviation P43 FINISHED
Object AFSA E369026 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: AFSA | Statement: [AFSA, abbreviation, AFSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFSA
Context triple: [AFSA, abbreviation, AFSA]
  • A. AFSA chosen
    AFSA was a U.S. military signals intelligence and cryptologic organization that served as a predecessor to the National Security Agency (NSA).
  • B. ASFA
    ASFA is a Spanish railway automatic train protection system designed to monitor and control train speeds to enhance operational safety.
  • C. AAFES
    AAFES is the retail and services organization that operates stores and facilities for U.S. Army and Air Force personnel and their families worldwide.
  • D. AFS
    AFS is the National Rail station code for Ashford (Surrey) railway station in England.
  • E. AFSJ
    AFSJ is the European Union’s policy framework that governs cooperation on justice, security, border control, and fundamental rights across member states.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.