Triple
T31396530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Small Boat Register |
E800877
|
entity |
| Predicate | typeOfBoatsRecorded |
P201053
|
FINISHED |
| Object | small craft |
—
|
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: small craft | Statement: [National Small Boat Register, typeOfBoatsRecorded, small craft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBoatsRecorded Context triple: [National Small Boat Register, typeOfBoatsRecorded, small craft]
-
A.
approximateNumberOfBoats
Indicates an estimated or roughly counted quantity of boats associated with an entity.
-
B.
numberOfBoatsWidth
Indicates the count of boats arranged or present across the width of a given area or span.
-
C.
typeOfWatercraftUsed
Indicates the kind or category of watercraft that is used in performing an action or participating in an event.
-
D.
notableBoatClass
Indicates that the subject is a notable or significant example of the specified class or type of boat.
-
E.
boatTypeAllowed
Indicates that a specified type of boat is permitted or authorized in a given context or location.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
| PDg | Predicate description generation | batch_69ffc515e4b08190810b2a29b2885162 |
completed | May 9, 2026, 11:36 p.m. |
Created at: April 29, 2026, 9:19 p.m.