Triple
T37842132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Reef |
E943506
|
entity |
| Predicate | hazardReason |
P1950
|
FINISHED |
| Object | shallow, sharp reef |
—
|
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: shallow, sharp reef | Statement: [First Reef, hazardReason, shallow, sharp reef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hazardReason Context triple: [First Reef, hazardReason, shallow, sharp reef]
-
A.
hazardType
chosen
Indicates the specific kind or category of hazard associated with an entity or situation.
-
B.
hazardEncountered
Indicates that an entity has come into contact with or been exposed to a potentially dangerous or harmful condition, object, or situation.
-
C.
hazardSource
Indicates that an entity is the origin or cause of a potential danger, risk, or harmful effect to another entity or environment.
-
D.
isHazard
Indicates that something poses a potential risk, danger, or harmful condition to people, property, or the environment.
-
E.
isHazardTo
Indicates that one entity poses a potential source of danger, harm, or risk to another entity.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.