Triple
T32493741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia do Foguete |
E830458
|
entity |
| Predicate | hasBestSeasonForSurf |
P85439
|
FINISHED |
| Object | autumn |
—
|
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: autumn | Statement: [Praia do Foguete, hasBestSeasonForSurf, autumn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBestSeasonForSurf Context triple: [Praia do Foguete, hasBestSeasonForSurf, autumn]
-
A.
hasBestSeasonForSurfing
chosen
Indicates that there is a particular season or time of year during which surfing conditions are considered optimal for a given location.
-
B.
hasBestTimeForSurfing
Indicates that a particular time or period is considered optimal for surfing conditions at a given location.
-
C.
hasBestSeasonForKiteboarding
Indicates the season or time of year during which conditions are most favorable for kiteboarding at a given location.
-
D.
hasSurfBreak
Indicates a relationship where a location or area contains or is associated with a specific surf break suitable for surfing.
-
E.
hasSurfQuality
Indicates that something possesses a particular level or characteristic of surf quality, such as wave suitability or conditions for surfing.
- F. None of above.
Provenance (3 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 1, 2026, 12:59 a.m.