Triple
T38324832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine-Dragon Screen (Beijing) |
E1036754
|
entity |
| Predicate | hasNumberOfMainFigures |
P6685
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Nine-Dragon Screen (Beijing), hasNumberOfMainFigures, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMainFigures Context triple: [Nine-Dragon Screen (Beijing), hasNumberOfMainFigures, 9]
-
A.
numberOfFiguresDepicted
chosen
Indicates the total count of distinct figures shown within a given depiction or representation.
-
B.
containsHumanFigures
Indicates that the subject includes one or more human figures within its content or composition.
-
C.
hasTwoMainFaces
Indicates that an entity possesses exactly two primary or most prominent faces or sides.
-
D.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
E.
hasHumanFigures
Indicates that something includes or depicts one or more human figures.
- 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.