Triple

T26816135
Position Surface form Disambiguated ID Type / Status
Subject Tian Tan Buddha E675124 entity
Predicate seatingPosture P55537 FINISHED
Object seated 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: seated | Statement: [Tian Tan Buddha, seatingPosture, seated]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatingPosture
Context triple: [Tian Tan Buddha, seatingPosture, seated]
  • A. hasSeatingPose chosen
    Indicates that an entity is in a seated posture or arrangement, specifying how it is positioned while sitting.
  • B. positionDuringSitting
    Indicates the spatial position or posture an entity has specifically while it is in a sitting state.
  • C. seatingPosition
    Indicates the relative location or arrangement of an entity’s seat with respect to other seats or a reference point in a seating layout.
  • D. describesPosture
    Indicates that one entity specifies or characterizes the bodily position or stance (posture) of another entity.
  • E. seatingDirection
    Indicates the orientation or facing direction in which an entity is seated relative to a reference point or object.
  • 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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f621fcea1481909b6f8b3af1ee6820 completed May 2, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69f620debeb48190b7db395fb86cf8d9 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 4:52 a.m.