Triple
T29705662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guincho Beach |
E751620
|
entity |
| Predicate | bestSeasonForWindSports |
P167620
|
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: [Guincho Beach, bestSeasonForWindSports, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSeasonForWindSports Context triple: [Guincho Beach, bestSeasonForWindSports, summer]
-
A.
bestSeasonForWindsurfing
Indicates the season during which conditions are most favorable for windsurfing at a given location.
-
B.
bestSeasonForParagliding
Indicates the season during which conditions are most favorable for paragliding.
-
C.
hasBestSeasonForKiteboarding
Indicates the season or time of year during which conditions are most favorable for kiteboarding at a given location.
-
D.
bestSeasonForTrekking
Indicates that a particular season is the most suitable or optimal time for trekking in a given place or context.
-
E.
popularSeasonForSkiing
Indicates that a given season is commonly favored or widely chosen as a time for skiing.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672b77cf4819099ab884963562c79 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:27 p.m.