Triple
T22786697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Vicente Lighthouse |
E563985
|
entity |
| Predicate | hasGroundsAccess |
P55417
|
FINISHED |
| Object | generally open to the public on limited occasions |
—
|
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: generally open to the public on limited occasions | Statement: [Point Vicente Lighthouse, hasGroundsAccess, generally open to the public on limited occasions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGroundsAccess Context triple: [Point Vicente Lighthouse, hasGroundsAccess, generally open to the public on limited occasions]
-
A.
hasGrounds
Indicates that one entity possesses or includes a physical area of land or outdoor space associated with it.
-
B.
hasNearbyAccess
Indicates that one entity has convenient, close-proximity access to another resource, service, or location.
-
C.
hasHumanAccess
chosen
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
-
D.
hasAmenityAccessTo
Indicates that an entity has the right or ability to use or benefit from a specified amenity or facility.
-
E.
hasProtectedAreaAccess
Indicates that an entity is permitted to enter, use, or otherwise access a designated protected area under defined conditions.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c321f848190a4443aa6bb4e57d7 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:29 p.m.