Triple
T23259381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banpo Bridge |
E581961
|
entity |
| Predicate | MoonlightRainbowFountainMusic |
P124786
|
FINISHED |
| Object | synchronized music show |
—
|
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: synchronized music show | Statement: [Banpo Bridge, MoonlightRainbowFountainMusic, synchronized music show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MoonlightRainbowFountainMusic Context triple: [Banpo Bridge, MoonlightRainbowFountainMusic, synchronized music show]
-
A.
fountainType
chosen
Indicates the specific kind or category of fountain associated with an entity.
-
B.
waterFeature
Indicates the presence of a natural or artificial body or flow of water associated with the subject.
-
C.
fountainDesigner
Indicates that one entity is the designer or creator of a particular fountain associated with another entity.
-
D.
hasFountain
Indicates that one entity contains, features, or is equipped with a fountain.
-
E.
numberOfFountains
Indicates the quantitative relationship specifying how many fountains are associated with a given entity.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c7ec148190b01fd215a0c1daa1 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.