Triple
T27554729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge Goldie crew |
E695600
|
entity |
| Predicate | boatSide |
P162699
|
FINISHED |
| Object | Cambridge |
—
|
NE NERFINISHED |
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: Cambridge | Statement: [Cambridge Goldie crew, boatSide, Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatSide Context triple: [Cambridge Goldie crew, boatSide, Cambridge]
-
A.
boatConfiguration
Indicates the specific arrangement, layout, or setup of components or features on a boat.
-
B.
harbourSide
Indicates a location or object that is situated alongside or directly adjacent to a harbour.
-
C.
boatStudio
Indicates a relationship where a boat is associated with, produced by, or represented by a particular studio or production company.
-
D.
boatPower
Indicates a relationship where a boat is characterized by or associated with a specific power rating or propulsion strength.
-
E.
boatTraveledOn
Indicates that a boat moved or was transported along or across a specified body of water or route.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62fb3ad088190b40d1c53f019f2b3 |
completed | May 2, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d14c24c81909e86678c1b5fd429 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 27, 2026, 1:36 p.m.