Triple
T37841965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gas Chambers surf break |
E943502
|
entity |
| Predicate | peakSwellSeason |
P85439
|
FINISHED |
| Object | November to February |
—
|
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: November to February | Statement: [Gas Chambers surf break, peakSwellSeason, November to February]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakSwellSeason Context triple: [Gas Chambers surf break, peakSwellSeason, November to February]
-
A.
hasBestTimeForSurfing
Indicates that a particular time or period is considered optimal for surfing conditions at a given location.
-
B.
navigationSeason
Indicates the time period or season during which navigation or travel along a route or waterway is possible or permitted.
-
C.
hasBestSeasonForSurfing
chosen
Indicates that there is a particular season or time of year during which surfing conditions are considered optimal for a given location.
-
D.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
E.
bestSeasonForWindsurfing
Indicates the season during which conditions are most favorable for windsurfing at a given location.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.