Triple
T6941702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonehaven Open Air Pool |
E160690
|
entity |
| Predicate | poolWidth |
P74418
|
FINISHED |
| Object | Olympic standard |
—
|
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: Olympic standard | Statement: [Stonehaven Open Air Pool, poolWidth, Olympic standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poolWidth Context triple: [Stonehaven Open Air Pool, poolWidth, Olympic standard]
-
A.
poolSize
Indicates the total number of items, resources, or units available within a defined shared pool.
-
B.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the given context.
-
C.
usesPoolingFilterSize
Indicates that an entity applies a pooling operation with a specified filter (kernel) size in a computational or neural network context.
-
D.
poolName
Indicates the name or label assigned to a specific pool within a broader system or context.
-
E.
hasPoolLength
Indicates that an entity (such as a pool) has a specific measured length.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6e0c620f0819080e0ec49b36d4c30 |
completed | March 27, 2026, 7:55 p.m. |
Created at: March 27, 2026, 2:28 p.m.