Triple

T16058374
Position Surface form Disambiguated ID Type / Status
Subject Firefly E389540 entity
Predicate hub P423 FINISHED
Object Subang Skypark E773637 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: Subang Skypark | Statement: [Firefly, hub, Subang Skypark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subang Skypark
Context triple: [Firefly, hub, Subang Skypark]
  • A. Subang Airport chosen
    Subang Airport is a secondary airport serving the Kuala Lumpur area in Malaysia, primarily handling domestic and regional turboprop flights and general aviation.
  • B. Cengkareng Airport
    Cengkareng Airport is the commonly used name for Soekarno–Hatta International Airport, the main international gateway serving Jakarta, Indonesia.
  • C. Subang Ria Recreational Park
    Subang Ria Recreational Park is a lakeside urban green space in Subang Jaya, Malaysia, popular for jogging, picnics, and outdoor leisure activities.
  • D. Syamsudin Noor International Airport
    Syamsudin Noor International Airport is the main commercial airport serving the Banjarmasin area in South Kalimantan, Indonesia.
  • E. Adisumarmo International Airport
    Adisumarmo International Airport is the main airport serving the city of Solo (Surakarta) in Central Java, Indonesia, handling both domestic and limited international flights.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837634248190a99cc454ad1e99e0 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe678fc8190b36737a9cd29691c completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:57 a.m.