Triple

T34439655
Position Surface form Disambiguated ID Type / Status
Subject Terminal 4 (Changi Airport) E884061 entity
Predicate hasAirsideArea P161319 FINISHED
Object transit area LITERAL 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: transit area | Statement: [Terminal 4 (Changi Airport), hasAirsideArea, transit area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAirsideArea
Context triple: [Terminal 4 (Changi Airport), hasAirsideArea, transit area]
  • A. hasAirsideCenter
    Indicates that one entity serves as or contains the designated airside center associated with another entity.
  • B. isAirside chosen
    Indicates that something is located within the secure, restricted-access area of an airport beyond security checkpoints, typically accessible only to authorized personnel and ticketed passengers.
  • C. hasAirsideConnection
    Indicates that there is a direct, secure connection between areas past security (airside) of two locations, allowing passengers to transfer without re-clearing security or immigration.
  • D. containsAirfield
    Indicates that a location or area includes at least one airfield within its boundaries.
  • E. hasAirspace
    Indicates that one entity possesses, controls, or is associated with a defined region of airspace relative to another entity or area.
  • F. None of above.

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_69f349c548d88190978e2a82502c03d0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f719492e7c8190896aa9fc1d63708e completed May 3, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69f71824431081908d9685d2462ea242 completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 2 a.m.