Triple

T12400077
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2 (Juanda International Airport) E296228 entity
Predicate partOf P40 FINISHED
Object Juanda International Airport E60932 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: Juanda International Airport | Statement: [Terminal 2 (Juanda International Airport), partOf, Juanda International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juanda International Airport
Context triple: [Terminal 2 (Juanda International Airport), partOf, Juanda International Airport]
  • A. Juanda International Airport chosen
    Juanda International Airport is a major international airport serving the city of Surabaya and the surrounding East Java region in Indonesia.
  • B. Awang Airport
    Awang Airport is a domestic airport serving the province of Maguindanao in the southern Philippines.
  • C. Iki Airport
    Iki Airport is a regional airport in Nagasaki Prefecture, Japan, providing air transport services to and from Iki Island.
  • D. Qimei Airport
    Qimei Airport is a small regional airport serving Qimei Island in Penghu County, Taiwan, providing domestic air connections to the surrounding islands and mainland Taiwan.
  • E. Gaya Airport
    Gaya Airport is an international airport in the Indian state of Bihar that primarily serves the city of Gaya and nearby Buddhist pilgrimage sites such as Bodh Gaya.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9401cbfd481908ee6e765da3d12cb completed April 10, 2026, 6:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af41f6b88190ba3a0b4d531853d7 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:55 p.m.