Triple
T8189270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Wales Challenge Cup |
E191263
|
entity |
| Predicate | boatCrewSize |
P30694
|
FINISHED |
| Object | 4 rowers |
—
|
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: 4 rowers | Statement: [Prince of Wales Challenge Cup, boatCrewSize, 4 rowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatCrewSize Context triple: [Prince of Wales Challenge Cup, boatCrewSize, 4 rowers]
-
A.
crewCount
chosen
Indicates the number of crew members associated with an entity, such as a vehicle, vessel, or mission.
-
B.
crewCountApproximate
Indicates that the relationship specifies an estimated or approximate number of crew members associated with an entity.
-
C.
hasBoatCapacity
Indicates the maximum number of people or amount of load that a boat is designed or allowed to carry.
-
D.
lifeboatCapacity
Indicates the maximum number of people or load that a lifeboat is designed and certified to safely carry.
-
E.
usesCrewedBoats
Indicates that an entity performs an activity or operation by employing boats that are crewed by people.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da0e1288190b9c7c1d3b9a98830 |
completed | March 31, 2026, 4:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:41 p.m.