Triple
T24069531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Swimming Pools and a Broken Glass |
E596185
|
entity |
| Predicate | numberOfSwimmingPoolImages |
P62360
|
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 Swimming Pools and a Broken Glass, numberOfSwimmingPoolImages, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSwimmingPoolImages Context triple: [Nine Swimming Pools and a Broken Glass, numberOfSwimmingPoolImages, 9]
-
A.
numberOfPools
Indicates the total count of pools associated with or contained by a given entity.
-
B.
numberOfImagesReturned
Indicates the total count of images that are produced or provided as the result of a query, request, or operation.
-
C.
hasSwimmingPool
Indicates that the subject possesses or includes a swimming pool as one of its features.
-
D.
pools
Indicates that one entity combines resources, funds, or elements together with others into a shared collection or common pool.
-
E.
numberOfStills
chosen
Indicates the quantity of still images associated with or contained in 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db17c99881909f97e858fb183d86 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.