Triple
T5006977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decorah crater |
E112519
|
entity |
| Predicate | hasHazardLevel |
P60801
|
FINISHED |
| Object | no known current impact hazard |
—
|
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: no known current impact hazard | Statement: [Decorah crater, hasHazardLevel, no known current impact hazard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHazardLevel Context triple: [Decorah crater, hasHazardLevel, no known current impact hazard]
-
A.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
-
B.
hasEmergencyLevel
Indicates that an entity is associated with a specific degree or severity of emergency status.
-
C.
hazardType
Indicates the specific kind or category of hazard associated with an entity or situation.
-
D.
hasHazardSignage
Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
-
E.
hasNavigationHazard
Indicates that something presents or contains a condition, object, or feature that poses a risk or obstacle to safe navigation.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:35 p.m.