Triple
T18898064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forster Ocean Baths |
E462261
|
entity |
| Predicate | isOceanFed |
P133713
|
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: [Forster Ocean Baths, isOceanFed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOceanFed Context triple: [Forster Ocean Baths, isOceanFed, true]
-
A.
oceanState
Indicates the condition or status of an ocean (such as calmness, turbulence, or other physical characteristics) at a given time or location.
-
B.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
C.
hasOceanType
Indicates that a body of water is classified as belonging to a particular type of ocean or oceanic category.
-
D.
representsOcean
Indicates that a geographic or political entity is bordered by, adjacent to, or otherwise directly associated with a particular ocean.
-
E.
isMostlyOceanic
Indicates that something consists predominantly of ocean or sea areas rather than land.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52689308190b2e5ca163b1f6cd1 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4afa745c081908da20a51ebc147b4 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 11:58 a.m.