Triple
T22871505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia de Calhetas |
E567207
|
entity |
| Predicate | popularPara |
P3033
|
FINISHED |
| Object | mergulho com snorkel |
—
|
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: mergulho com snorkel | Statement: [Praia de Calhetas, popularPara, mergulho com snorkel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularPara Context triple: [Praia de Calhetas, popularPara, mergulho com snorkel]
-
A.
popularFor
chosen
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
-
B.
popular
Indicates that an entity is widely liked, admired, or favored by many people compared to alternatives.
-
C.
popularFrom
Indicates that something gains or holds popularity starting from a specific time, source, or context.
-
D.
popularDescription
Indicates that an entity has a commonly used or widely recognized descriptive text or label associated with it.
-
E.
popularViewpointFor
Indicates that a particular viewpoint is widely held or commonly accepted within a specified group, context, or domain.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:38 p.m.