Triple
T18526827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aik Kalak hot springs |
E452739
|
entity |
| Predicate | hasPerceivedBenefit |
P46000
|
FINISHED |
| Object | relaxation |
—
|
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: relaxation | Statement: [Aik Kalak hot springs, hasPerceivedBenefit, relaxation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerceivedBenefit Context triple: [Aik Kalak hot springs, hasPerceivedBenefit, relaxation]
-
A.
hasBenefit
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
B.
believedBenefit
chosen
Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
-
C.
observationBenefit
Indicates that one entity gains an advantage, insight, or positive outcome as a result of observing another entity or phenomenon.
-
D.
expectedBenefit
Indicates the benefit or positive outcome that is anticipated to result from a particular action, decision, or relationship between entities.
-
E.
benefitedFromEvent
Indicates that an entity gained an advantage, improvement, or positive outcome as a result of a particular event.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53392618c8190b44de46b80ee6a6d |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.