Triple
T26816154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tian Tan Buddha |
E675124
|
entity |
| Predicate | exhibitionHallLevels |
P141170
|
FINISHED |
| Object | Hall of the Universe |
—
|
NE NERFINISHED |
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: Hall of the Universe | Statement: [Tian Tan Buddha, exhibitionHallLevels, Hall of the Universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitionHallLevels Context triple: [Tian Tan Buddha, exhibitionHallLevels, Hall of the Universe]
-
A.
hasExhibitionFloors
chosen
Indicates that an entity (typically a building or venue) possesses one or more floors or levels designated for exhibitions or displays.
-
B.
numberOfSeatingLevels
Indicates the total count of distinct seating levels or tiers associated with a venue, structure, or seating arrangement.
-
C.
fieldOfExhibition
Indicates the domain or area in which something is publicly presented, displayed, or exhibited.
-
D.
exhibitionScale
Indicates the relative size, scope, or extent of an exhibition in which an entity is presented or involved.
-
E.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
- 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_69f61a85eee481909550d515a5b8feea |
completed | May 2, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:52 a.m.