Triple
T8017392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ely Marina |
E186651
|
entity |
| Predicate | servesVesselType |
P11945
|
FINISHED |
| Object | narrowboats |
—
|
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: narrowboats | Statement: [Ely Marina, servesVesselType, narrowboats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesVesselType Context triple: [Ely Marina, servesVesselType, narrowboats]
-
A.
servingVessel
Indicates that one entity functions as the container or vessel used to serve another entity (such as food or drink).
-
B.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
C.
servesWith
Indicates that one entity is customarily presented, used, or consumed together with another as a complementary accompaniment.
-
D.
servesVenue
Indicates that an entity provides services or functions in support of a particular venue.
-
E.
usesVesselType
chosen
Indicates that an entity performs an activity or operation by employing a specific type or category of vessel.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:20 p.m.