Triple
T15516567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA men’s swimming and diving |
E368848
|
entity |
| Predicate | includesStroke |
P44440
|
FINISHED |
| Object | freestyle |
—
|
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: freestyle | Statement: [NCAA men’s swimming and diving, includesStroke, freestyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesStroke Context triple: [NCAA men’s swimming and diving, includesStroke, freestyle]
-
A.
hasStrokeType
chosen
Indicates that an entity is associated with a specific type or classification of stroke.
-
B.
includesCurve
Indicates that one entity contains or encompasses a particular curve as part of its geometric or structural definition.
-
C.
hasStrokeCountApprox
Indicates an approximate number of strokes associated with writing or drawing the related entity.
-
D.
hasStrokeCount
Indicates the number of strokes required to write a given symbol or character.
-
E.
inscriptionIncludesLine
Indicates that an inscription contains a specific line of text as one of its components.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:02 a.m.