Triple
T26194574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banpo Bridge Rainbow Fountain |
E655061
|
entity |
| Predicate | nozzleCount |
P21647
|
FINISHED |
| Object | approximately 380 |
—
|
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: approximately 380 | Statement: [Banpo Bridge Rainbow Fountain, nozzleCount, approximately 380]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nozzleCount Context triple: [Banpo Bridge Rainbow Fountain, nozzleCount, approximately 380]
-
A.
numberOfNozzles
chosen
Indicates the quantity of nozzles associated with or present on a given entity.
-
B.
nozzleType
Indicates the specific kind or category of nozzle associated with or used by an entity.
-
C.
nozzleConfiguration
Indicates the specific arrangement or setup of nozzles used in a system or device.
-
D.
nozzleDiameter
Indicates the size of the opening of a nozzle, typically measured as the diameter of its exit orifice.
-
E.
bellNozzle
Indicates a nozzle whose shape flares outward like a bell, typically used to optimize the expansion of exhaust flow.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60ca50d0081909d146f3c697227aa |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:45 p.m.