Triple

T11258149
Position Surface form Disambiguated ID Type / Status
Subject JNB E266492 entity
Predicate icaoCode P419 FINISHED
Object FAOR E266493 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: FAOR | Statement: [JNB, icaoCode, FAOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAOR
Context triple: [JNB, icaoCode, FAOR]
  • A. FAOR chosen
    FAOR is the ICAO airport code for O. R. Tambo International Airport, the primary international gateway serving Johannesburg, South Africa.
  • B. BAOR
    BAOR was the British Army’s primary land force stationed in West Germany during the Cold War, responsible for NATO’s forward defense against the Warsaw Pact.
  • C. MARFORAF
    MARFORAF is the United States Marine Corps component command responsible for overseeing Marine operations, engagement, and security cooperation across the African continent.
  • D. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • E. AFOUA
    AFOUA stands for the Air Force Outstanding Unit Award, a U.S. Air Force decoration recognizing units that demonstrate exceptionally meritorious service or outstanding achievement.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e935b85c819085e1abf2dd4099c5 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccada158819080e49833e09f84a0 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.