Triple

T4481213
Position Surface form Disambiguated ID Type / Status
Subject Hana E100137 entity
Predicate servedBy P82 FINISHED
Object Hana Airport E62141 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: Hana Airport | Statement: [Hana, servedBy, Hana Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hana Airport
Context triple: [Hana, servedBy, Hana Airport]
  • A. Hana Airport chosen
    Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
  • B. Tajima Airport
    Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
  • C. Kish International Airport
    Kish International Airport is the main air gateway serving Iran’s resort and free-trade zone of Kish Island in the Persian Gulf.
  • D. Senai International Airport
    Senai International Airport is a major airport in the Malaysian state of Johor that serves the city of Johor Bahru and the surrounding southern region as a key domestic and regional air travel hub.
  • E. Katunayake Airport
    Katunayake Airport, now known as Bandaranaike International Airport, is the main international gateway to Sri Lanka located near Colombo.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65140f9a08190856442534ff46e37 completed March 15, 2026, 6:27 a.m.
Created at: March 12, 2026, 11:36 p.m.