Triple
T22678625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRA National Championship |
E560416
|
entity |
| Predicate | primaryBoatClassForTitle |
P24983
|
FINISHED |
| Object | men’s varsity eight |
—
|
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: men’s varsity eight | Statement: [IRA National Championship, primaryBoatClassForTitle, men’s varsity eight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBoatClassForTitle Context triple: [IRA National Championship, primaryBoatClassForTitle, men’s varsity eight]
-
A.
notableBoatClass
Indicates that the subject is a notable or significant example of the specified class or type of boat.
-
B.
hullType
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
-
C.
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.
-
D.
IMOCategory
Indicates the classification of an entity according to the International Mathematical Olympiad (IMO) category it belongs to.
-
E.
craftType
chosen
Indicates the specific kind or category of craft or vessel associated with an entity.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785e4e7481909f1ebd6d8dbd6585 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.