Triple
T34406655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gheralta rock formations |
E883131
|
entity |
| Predicate | hasPanoramicVistas |
P29603
|
FINISHED |
| Object | Gheralta plateau and surrounding valleys |
—
|
NE NERFINISHED |
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: Gheralta plateau and surrounding valleys | Statement: [Gheralta rock formations, hasPanoramicVistas, Gheralta plateau and surrounding valleys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanoramicVistas Context triple: [Gheralta rock formations, hasPanoramicVistas, Gheralta plateau and surrounding valleys]
-
A.
hasPanoramicView
chosen
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
-
B.
hasSummitPanorama
Indicates that a summit location offers a panoramic view or image captured from its highest point.
-
C.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
D.
hasScenicViewpoints
Indicates that something includes or provides locations specifically intended for enjoying scenic or panoramic views.
-
E.
hasPanoramaArea
Indicates that something includes or is associated with a designated area intended for panoramic viewing or wide-angle observation.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff80d9a1d88190a95b1488acd6e2e5 |
completed | May 9, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69ff802ae2dc819093a3cda42b63dcbd |
completed | May 9, 2026, 6:42 p.m. |
Created at: May 1, 2026, 1:59 a.m.