Triple
T32288675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hash Point |
E824903
|
entity |
| Predicate | wetsuitRecommendation |
P173930
|
FINISHED |
| Object | full wetsuit in winter |
—
|
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: full wetsuit in winter | Statement: [Hash Point, wetsuitRecommendation, full wetsuit in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wetsuitRecommendation Context triple: [Hash Point, wetsuitRecommendation, full wetsuit in winter]
-
A.
wetsuitCommon
Indicates that one entity is commonly associated with or typically used as a wetsuit in relation to the other entity.
-
B.
swimmingSuitability
Indicates how appropriate or safe a given environment or condition is for swimming.
-
C.
bestDiveConditions
Indicates that the environmental and situational factors for diving are at their most favorable or optimal level.
-
D.
waterSport
Indicates participation in or association with a sport or recreational activity that takes place on or in water.
-
E.
swimmingAdvised
Indicates that engaging in swimming is recommended or suggested under certain conditions or for certain individuals.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd31dc488190aac7229e92312390 |
completed | May 3, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:44 a.m.