Triple
T18847252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graveyard of the Pacific |
E460947
|
entity |
| Predicate | hasCauseOfDanger |
P22896
|
FINISHED |
| Object | winter storms |
—
|
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: winter storms | Statement: [Graveyard of the Pacific, hasCauseOfDanger, winter storms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCauseOfDanger Context triple: [Graveyard of the Pacific, hasCauseOfDanger, winter storms]
-
A.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
-
B.
hasObjectiveHazards
Indicates that an entity is associated with concrete, externally verifiable dangers or risks.
-
C.
hasHazardLevel
Indicates that an entity is associated with a specified degree or category of risk or danger.
-
D.
dangerousWhen
Indicates that one entity becomes harmful, risky, or unsafe under the conditions or in the presence of another entity or situation.
-
E.
hasNavigationHazard
chosen
Indicates that something presents or contains a condition, object, or feature that poses a risk or obstacle to safe navigation.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8efafdc81909608b8a47deeaa8e |
completed | April 20, 2026, 5:26 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.