Triple
T35326935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crater Peak |
E1020211
|
entity |
| Predicate | canAffectAviation |
P49069
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Crater Peak, canAffectAviation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAffectAviation Context triple: [Crater Peak, canAffectAviation, yes]
-
A.
affectsAirTraffic
chosen
Indicates that one entity causes changes or disruptions to the normal flow, safety, or management of air traffic.
-
B.
aircraftImpact
Indicates that an aircraft collides with or crashes into a target or surface, causing an impact event.
-
C.
isAviationElementFor
Indicates that something serves as an aviation-related component, feature, or element specifically associated with or used for a particular object, system, or context.
-
D.
rangeAgainstAircraft
Indicates that one entity measures, determines, or engages the distance to an aircraft target.
-
E.
hasGeneralAviationActivity
Indicates that an entity is involved in or supports non-commercial, private, or recreational aviation operations.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.