Triple
T7619691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipan Point |
E172455
|
entity |
| Predicate | hasPanoramicViewAngle |
P29603
|
FINISHED |
| Object | nearly 360 degrees |
—
|
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: nearly 360 degrees | Statement: [Lipan Point, hasPanoramicViewAngle, nearly 360 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanoramicViewAngle Context triple: [Lipan Point, hasPanoramicViewAngle, nearly 360 degrees]
-
A.
hasPanoramicView
chosen
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
-
B.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
C.
hasSummitPanorama
Indicates that a summit location offers a panoramic view or image captured from its highest point.
-
D.
hasWideCamera
Indicates that an entity is equipped with or features a wide-angle camera.
-
E.
hasAperture
Indicates that one entity possesses or is characterized by a specific opening, gap, or aperture.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.