Triple
T37726463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morfa Bychan |
E940033
|
entity |
| Predicate | hasBeachPolicy |
P194049
|
FINISHED |
| Object | vehicle access allowed on parts of Black Rock Sands |
—
|
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: vehicle access allowed on parts of Black Rock Sands | Statement: [Morfa Bychan, hasBeachPolicy, vehicle access allowed on parts of Black Rock Sands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachPolicy Context triple: [Morfa Bychan, hasBeachPolicy, vehicle access allowed on parts of Black Rock Sands]
-
A.
hasBeachCharacteristic
Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
-
B.
hasBeachTagRequirement
Indicates that something is subject to a specific requirement or condition related to beach access, use, or tagging.
-
C.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
D.
hasBeachResortStatus
Indicates that an entity holds the designation or classification of being a beach resort.
-
E.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: May 3, 2026, 4:18 p.m.