Triple
T29205329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia do Forte Novo |
E740393
|
entity |
| Predicate | hasMainSeason |
P168021
|
FINISHED |
| Object | 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: summer | Statement: [Praia do Forte Novo, hasMainSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSeason Context triple: [Praia do Forte Novo, hasMainSeason, summer]
-
A.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
B.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
-
C.
hasPrimaryAccessSeason
chosen
Indicates the main or most significant time period during which access to something is allowed or typically occurs.
-
D.
hasSeasonRelation
Indicates a relationship where one entity is associated with another through a specific season or seasonal context (e.g., occurring in, relevant to, or characteristic of that season).
-
E.
hasPartOfSeason
Indicates that one season includes another season or a segment of a season as a constituent part.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: April 28, 2026, 12:09 p.m.