Triple

T34439675
Position Surface form Disambiguated ID Type / Status
Subject Jewel Changi Airport E884062 entity
Predicate numberOfAboveGroundFloors P78480 FINISHED
Object 5 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: 5 | Statement: [Jewel Changi Airport, numberOfAboveGroundFloors, 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfAboveGroundFloors
Context triple: [Jewel Changi Airport, numberOfAboveGroundFloors, 5]
  • A. hasFloorsAboveGround chosen
    Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
  • B. numberOfFloors
    Indicates the total count of distinct floor levels that a building or structure has.
  • C. hasBaseBuildingFloors
    Indicates that something (such as a building or structure) has a specified number of floors in its base or main part.
  • D. hasMultipleFloors
    Indicates that an entity consists of more than one distinct floor or level within a structure.
  • E. numberOfResidentialFloors
    Indicates the total count of floors in a building that are designated for residential use.
  • 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_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379fbe4a08190bfe65ebd141164e9 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 2 a.m.