Triple
T15561728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women’s water polo |
E371015
|
entity |
| Predicate | fieldOfPlay |
P119188
|
FINISHED |
| Object | swimming pool |
—
|
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: swimming pool | Statement: [NCAA women’s water polo, fieldOfPlay, swimming pool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfPlay Context triple: [NCAA women’s water polo, fieldOfPlay, swimming pool]
-
A.
fieldSide
Indicates the relative side or position of something with respect to a defined field or playing area.
-
B.
fieldIdentification
Indicates the association of an entity with a specific field, category, or domain used to distinguish or classify it within a broader context.
-
C.
fieldedIn
Indicates that an entity was deployed, presented, or put into active use within a particular context, event, or domain.
-
D.
fielded
Indicates that an entity deployed, presented, or put forward another entity (such as a person, team, or resource) for participation or use in a particular context or activity.
-
E.
homeFieldSurface
Indicates the type of playing surface used at a team's home field or stadium.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddb4c0c81909b3f4c75c91f7f3f |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.