Triple

T11258150
Position Surface form Disambiguated ID Type / Status
Subject JNB E266492 entity
Predicate formerIcaoCode P18649 FINISHED
Object FAJS E266494 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: FAJS | Statement: [JNB, formerIcaoCode, FAJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAJS
Context triple: [JNB, formerIcaoCode, FAJS]
  • A. FAJS chosen
    FAJS is the former ICAO airport code that was used to identify O. R. Tambo International Airport in Johannesburg, South Africa.
  • B. 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.
  • C. FASS
    FASS is the Faculty of Arts and Social Sciences at Carleton University, encompassing a wide range of humanities and social science disciplines.
  • D. FASS
    FASS is the Faculty of Arts and Social Sciences at the University of Surrey, encompassing disciplines such as humanities, social sciences, and related fields.
  • E. FASS
    FASS is the abbreviated name for the University of Sydney’s Faculty of Arts and Social Sciences, a major division focused on humanities and social science disciplines.
  • 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.