Triple
T13308408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lituya Bay |
E316994
|
entity |
| Predicate | hasVegetationImpactFrom1958Wave |
P107573
|
FINISHED |
| Object | forest stripped to high elevation |
—
|
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: forest stripped to high elevation | Statement: [Lituya Bay, hasVegetationImpactFrom1958Wave, forest stripped to high elevation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVegetationImpactFrom1958Wave Context triple: [Lituya Bay, hasVegetationImpactFrom1958Wave, forest stripped to high elevation]
-
A.
vegetationRegrowthObserved
Indicates that the renewal or increase of plant cover has been detected following a prior disturbance or reduction.
-
B.
hasWaveClimate
Indicates a relationship where a location or coastal area is characterized by a particular pattern or regime of wave conditions (such as height, period, and direction).
-
C.
landscapeImpact
chosen
Indicates how an action, project, or entity alters or affects the visual and physical character of a landscape.
-
D.
wasExposedAsLandDuring
Indicates that a geographic area was land (not submerged by water) during a specified time period or event.
-
E.
hasImpactBasin
Indicates that one entity possesses or contains an impact basin formed by a significant collision event.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:29 p.m.