Triple

T1398269
Position Surface form Disambiguated ID Type / Status
Subject Garuda Indonesia E30719 entity
Predicate secondaryHub P8522 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: [Garuda Indonesia, secondaryHub, Juanda International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juanda International Airport
Context triple: [Garuda Indonesia, secondaryHub, 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. Gando Airport
    Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
  • C. Palam Airport
    Palam Airport is the former name and original airfield of Delhi’s main international airport, now known as Indira Gandhi International Airport.
  • D. Lombok International Airport
    Lombok International Airport is the main commercial airport serving the Indonesian island of Lombok, handling domestic and international flights for the region.
  • E. Nadi International Airport
    Nadi International Airport is Fiji’s main international gateway and busiest airport, serving as the primary hub for international flights to and from the country.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c382b6588190833c39ac84fb6139 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad159920d48190ace6bc4d37af75eb completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:59 p.m.