Triple
T37091556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Akita-Komagatake |
E918431
|
entity |
| Predicate | isAlpineArea |
P185413
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mount Akita-Komagatake, isAlpineArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAlpineArea Context triple: [Mount Akita-Komagatake, isAlpineArea, true]
-
A.
isInAlpineArea
chosen
Indicates that an entity is located within or belongs to a mountainous alpine region.
-
B.
isAlpineResort
Indicates that the subject is a resort located in, or characteristic of, an alpine (mountainous) region.
-
C.
isAlpineSummit
Indicates that the subject is a mountain summit located within an alpine (high-mountain) environment.
-
D.
hasSubalpineZone
Indicates that something possesses or includes a subalpine ecological zone, typically found just below the alpine zone in mountainous regions.
-
E.
isAlpineLake
Indicates that a given lake is located in, or characteristic of, an alpine (high-mountain) environment.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.