Triple

T5914531
Position Surface form Disambiguated ID Type / Status
Subject Sultan Hasanuddin International Airport E131544 entity
Predicate previousICAOcode P18649 FINISHED
Object WAAA E555089 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: WAAA | Statement: [Sultan Hasanuddin International Airport, previousICAOcode, WAAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAAA
Context triple: [Sultan Hasanuddin International Airport, previousICAOcode, WAAA]
  • A. WAAA chosen
    WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
  • B. WAWA
    WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
  • C. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • D. WWA
    WWA is the National Rail station code for Woolwich Arsenal railway station in southeast London.
  • E. WA2
    WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037b9f0908190ad854e5f2600f114 completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e397f2748190acf2d629ee57a466 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.