Triple
T4331672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navagio Beach |
E96763
|
entity |
| Predicate | hasViewpointAccess |
P55417
|
FINISHED |
| Object | road access to cliff-top viewpoints |
—
|
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: road access to cliff-top viewpoints | Statement: [Navagio Beach, hasViewpointAccess, road access to cliff-top viewpoints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewpointAccess Context triple: [Navagio Beach, hasViewpointAccess, road access to cliff-top viewpoints]
-
A.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
B.
hasAccessTowards
Indicates that one entity possesses the ability, permission, or means to reach, use, or interact with another entity or resource.
-
C.
hasHumanAccess
chosen
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
-
D.
hasViewpointType
Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
-
E.
canAccedeTo
Indicates that one entity has the ability, permission, or right to gain access to or enter into another entity, resource, or state.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.