Triple
T28079007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Beach |
E709623
|
entity |
| Predicate | hasBestUse |
P160150
|
FINISHED |
| Object | beginner snorkeling |
—
|
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: beginner snorkeling | Statement: [Baby Beach, hasBestUse, beginner snorkeling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBestUse Context triple: [Baby Beach, hasBestUse, beginner snorkeling]
-
A.
holdsBestFor
Indicates that one entity considers or maintains another entity as the most suitable or optimal choice for a particular purpose or context.
-
B.
worksBestWhen
Indicates that one entity performs optimally or is most effective under the conditions provided by another entity.
-
C.
assessesForUseIn
Indicates that one entity evaluates another entity to determine its suitability or appropriateness for a particular use or application.
-
D.
isPerfectFor
chosen
Indicates that one entity is ideally suited or optimally appropriate for another entity, purpose, or context.
-
E.
potentialUse
Indicates that one entity could be used for, or is suitable for, a particular function, purpose, or application involving another entity.
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 8:50 p.m.