Triple
T26142149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brennecke’s Beach |
E659545
|
entity |
| Predicate | canBeHazardousFor |
P144198
|
FINISHED |
| Object | inexperienced swimmers |
—
|
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: inexperienced swimmers | Statement: [Brennecke’s Beach, canBeHazardousFor, inexperienced swimmers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeHazardousFor Context triple: [Brennecke’s Beach, canBeHazardousFor, inexperienced swimmers]
-
A.
isHazardTo
chosen
Indicates that one entity poses a potential source of danger, harm, or risk to another entity.
-
B.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
-
C.
hasHazardCharacteristic
Indicates that an entity possesses a specific hazardous property, condition, or risk-related characteristic.
-
D.
hasHazardLevel
Indicates that an entity is associated with a specified degree or category of risk or danger.
-
E.
hasObjectiveHazards
Indicates that an entity is associated with concrete, externally verifiable dangers or risks.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 8:20 p.m.