Triple
T31484607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Rowing Cup |
E803237
|
entity |
| Predicate | includesBoatClass |
P161794
|
FINISHED |
| Object | single sculls |
—
|
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: single sculls | Statement: [World Rowing Cup, includesBoatClass, single sculls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesBoatClass Context triple: [World Rowing Cup, includesBoatClass, single sculls]
-
A.
hasPrimaryBoatClass
Indicates that an entity is associated with its main or most important classification of boat.
-
B.
sailingClass
Indicates that one entity is a type or category of sailing activity, vessel, or competition class to which the other entity belongs or is associated.
-
C.
notableBoatClass
Indicates that the subject is a notable or significant example of the specified class or type of boat.
-
D.
boatTypeAllowed
chosen
Indicates that a specified type of boat is permitted or authorized in a given context or location.
-
E.
hasBoatOrShip
Indicates that an entity possesses, owns, or is associated with a boat or ship.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a013b78bde881909a082beced4e0157 |
completed | May 11, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_6a013acf45508190a999b208066072bd |
completed | May 11, 2026, 2:11 a.m. |
Created at: April 30, 2026, 9:34 p.m.