Triple
T13778981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IPC Swimming World Championships |
E331085
|
entity |
| Predicate | usesPoolLength |
P41060
|
FINISHED |
| Object | 50 metres |
—
|
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: 50 metres | Statement: [IPC Swimming World Championships, usesPoolLength, 50 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPoolLength Context triple: [IPC Swimming World Championships, usesPoolLength, 50 metres]
-
A.
hasPoolLength
chosen
Indicates that an entity (such as a pool) has a specific measured length.
-
B.
hasPool
Indicates that one entity possesses, includes, or is equipped with a swimming pool.
-
C.
usesPooling
Indicates that one entity employs a pooling mechanism or strategy to aggregate or combine resources, data, or elements from multiple sources.
-
D.
usesPoolingFilterSize
Indicates that an entity applies a pooling operation with a specified filter (kernel) size in a computational or neural network context.
-
E.
hasPoolBar
Indicates that a place or facility includes a bar located in or directly adjacent to a swimming pool.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:11 p.m.