Triple
T37410455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbeyal Beach |
E929550
|
entity |
| Predicate | hasSignpostedSwimmingArea |
P196850
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Arbeyal Beach, hasSignpostedSwimmingArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignpostedSwimmingArea Context triple: [Arbeyal Beach, hasSignpostedSwimmingArea, true]
-
A.
hasSwimmingAreaType
Indicates that an entity’s swimming area is classified as a specific type or category (e.g., indoor pool, open water, designated beach zone).
-
B.
swimmingAllowed
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
C.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
D.
hasSwimmingPool
Indicates that the subject possesses or includes a swimming pool as one of its features.
-
E.
swimmingAdvised
Indicates that engaging in swimming is recommended or suggested under certain conditions or for certain individuals.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
| PDg | Predicate description generation | batch_69fe6b7a823881909dc2037fe25bea24 |
completed | May 8, 2026, 11:02 p.m. |
Created at: May 3, 2026, 4:16 p.m.