Triple
T27897229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge University Women’s Boat Club |
E705526
|
entity |
| Predicate | hasPrimaryBoatClass |
P197123
|
FINISHED |
| Object | eights |
—
|
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: eights | Statement: [Cambridge University Women’s Boat Club, hasPrimaryBoatClass, eights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryBoatClass Context triple: [Cambridge University Women’s Boat Club, hasPrimaryBoatClass, eights]
-
A.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
B.
hasBoatOrShip
Indicates that an entity possesses, owns, or is associated with a boat or ship.
-
C.
notableBoatClass
Indicates that the subject is a notable or significant example of the specified class or type of boat.
-
D.
hasBoatLine
Indicates that one entity operates, owns, or is associated with a particular boat service or boat route line.
-
E.
hasTraditionalBoatType
Indicates that an entity is associated with or characterized by a specific traditional type of boat.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
| PDg | Predicate description generation | batch_69fe78e35e6c8190b8b440777912f64e |
completed | May 8, 2026, 11:59 p.m. |
Created at: April 27, 2026, 6:39 p.m.