Triple
T25168216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Twin Mountain |
E630240
|
entity |
| Predicate | hasSubalpineZone |
P162867
|
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: [North Twin Mountain, hasSubalpineZone, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubalpineZone Context triple: [North Twin Mountain, hasSubalpineZone, true]
-
A.
hasAlpineTundra
Indicates that something possesses or is characterized by an alpine tundra environment or habitat.
-
B.
hasAlpineFlora
Indicates that an entity possesses or is characterized by plant life typical of high-altitude alpine environments.
-
C.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
D.
isInValleyOrMountainRegion
Indicates that an entity is located within either a valley area or a mountainous region.
-
E.
isAlpineResort
Indicates that the subject is a resort located in, or characteristic of, an alpine (mountainous) region.
- 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 21, 2026, 12:18 p.m.