Triple

T8541010
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1A E202192 entity
Predicate hasIATAAirport P17503 FINISHED
Object NBO E202189 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: NBO | Statement: [Terminal 1A, hasIATAAirport, NBO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBO
Context triple: [Terminal 1A, hasIATAAirport, NBO]
  • A. NBO chosen
    NBO is the IATA airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • B. NOB
    NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
  • C. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • D. NBW
    NBW is the three-letter National Rail station code for North Berwick railway station in East Lothian, Scotland.
  • E. NBS
    NBS is the central bank of Slovakia, responsible for monetary policy, financial stability, and regulation of the country’s banking sector.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce891a1fac8190bcae4063b24c760a completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:18 p.m.