Triple
T402484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia de São Rafael |
E9314
|
entity |
| Predicate | hasSeaCondition |
P13023
|
FINISHED |
| Object | generally calm in summer |
—
|
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: generally calm in summer | Statement: [Praia de São Rafael, hasSeaCondition, generally calm in summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaCondition Context triple: [Praia de São Rafael, hasSeaCondition, generally calm in summer]
-
A.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
B.
usesAtSea
Indicates that something is employed, operated, or applied in a maritime or oceanic environment.
-
C.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
D.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
E.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca0e2048190a7bf360257965e56 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2eb7c56bc8190ab787801af2eec8d |
completed | Feb. 28, 2026, 1:19 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.