Triple
T16325104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teewinot Mountain |
E396389
|
entity |
| Predicate | isPartOfView |
P122721
|
FINISHED |
| Object | iconic Teton Range skyline |
—
|
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: iconic Teton Range skyline | Statement: [Teewinot Mountain, isPartOfView, iconic Teton Range skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfView Context triple: [Teewinot Mountain, isPartOfView, iconic Teton Range skyline]
-
A.
isViewableIn
Indicates that one entity can be visually accessed, observed, or displayed within the context, medium, or viewpoint defined by another entity.
-
B.
isPartiallyVisibleFrom
Indicates that one entity can be seen only in part, rather than fully, from the viewpoint or location of another entity.
-
C.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
D.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
E.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b9dcb88190beb0ca2206729175 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.