Triple
T30109226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World’s Safest Beach |
E765217
|
entity |
| Predicate | featureClaim |
P201131
|
FINISHED |
| Object | safe swimming conditions |
—
|
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: safe swimming conditions | Statement: [The World’s Safest Beach, featureClaim, safe swimming conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureClaim Context triple: [The World’s Safest Beach, featureClaim, safe swimming conditions]
-
A.
featureAdded
Indicates that a new feature has been introduced or incorporated into a system, product, or entity.
-
B.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
-
C.
featureChange
Indicates a modification in the properties, characteristics, or attributes of an entity between two states or points in time.
-
D.
featureLinked
Indicates that one feature is associated or connected to another feature in a meaningful or dependent way.
-
E.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
| PDg | Predicate description generation | batch_69ffcb5428b88190b154776ebcbb81e1 |
completed | May 10, 2026, 12:03 a.m. |
Created at: April 29, 2026, 7:10 p.m.