Triple
T7529663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Beach |
E177985
|
entity |
| Predicate | swimmingCondition |
P70106
|
FINISHED |
| Object | generally unsafe for swimming |
—
|
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: generally unsafe for swimming | Statement: [China Beach, swimmingCondition, generally unsafe for swimming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swimmingCondition Context triple: [China Beach, swimmingCondition, generally unsafe for swimming]
-
A.
swimmingSuitability
chosen
Indicates how appropriate or safe a given environment or condition is for swimming.
-
B.
swimmingAllowed
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
C.
swimmingAdvised
Indicates that engaging in swimming is recommended or suggested under certain conditions or for certain individuals.
-
D.
canSwim
Indicates that an entity has the ability to move through water by swimming.
-
E.
swimmingLevel
Indicates the degree of proficiency or skill an entity has in swimming.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81fbd4c8190b8ffedf1dbbb43aa |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.