Triple
T6520545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MECCA Arena |
E148367
|
entity |
| Predicate | courtDesignStyle |
P71383
|
FINISHED |
| Object | pop art |
—
|
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: pop art | Statement: [MECCA Arena, courtDesignStyle, pop art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtDesignStyle Context triple: [MECCA Arena, courtDesignStyle, pop art]
-
A.
courtStyle
Indicates the manner or stylistic approach in which a court conducts its proceedings or presents its decisions.
-
B.
architecturalStyle
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
-
C.
styleOfJudges
Indicates the characteristic manner or approach that judges use when performing their judging role.
-
D.
courtCharacteristic
Indicates that a specified attribute or quality is associated with, or descriptive of, a particular court.
-
E.
innerCourtBuilding
Indicates that a building is located within the inner court area of another structure or complex.
- F. None of above. chosen
Provenance (4 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad92c624819086dbb12b4f6b78d3 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.