Triple
T10235591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nan White |
E243453
|
entity |
| Predicate | beachSectorCode |
P92901
|
FINISHED |
| Object | Nan |
—
|
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: Nan | Statement: [Nan White, beachSectorCode, Nan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beachSectorCode Context triple: [Nan White, beachSectorCode, Nan]
-
A.
beachSectorSupported
Indicates that a particular beach sector is maintained, serviced, or otherwise operationally supported by a responsible party or system.
-
B.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
C.
isPublicBeach
Indicates that a beach is designated and accessible for use by the general public, typically without exclusive private restrictions.
-
D.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
E.
beachName
Indicates the specific name assigned to a beach in the relationship.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d23a9c4c8190abece9e52879c479 |
completed | April 7, 2026, 9:45 a.m. |
Created at: April 6, 2026, 11:22 a.m.