Triple
T37647656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watchman Mountain |
E937084
|
entity |
| Predicate | partOfScenicRegion |
P41742
|
FINISHED |
| Object | Zion Canyon |
—
|
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: Zion Canyon | Statement: [Watchman Mountain, partOfScenicRegion, Zion Canyon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfScenicRegion Context triple: [Watchman Mountain, partOfScenicRegion, Zion Canyon]
-
A.
isPartOfScenicVista
chosen
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
B.
isScenicArea
Indicates that a location is recognized as a scenic area, typically valued for its natural beauty or visually appealing surroundings.
-
C.
isScenicStartingPointFor
Indicates that a location serves as an especially picturesque or visually appealing starting point for a route, journey, or activity.
-
D.
scenicCategory
Indicates the classification of a place or route based on its visual appeal or scenic qualities.
-
E.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a018f9c7cf88190adc5daf3806f2077 |
completed | May 11, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_6a018ca4e0e481908091f0c1f8a4c31b |
completed | May 11, 2026, 8 a.m. |
Created at: May 3, 2026, 4:18 p.m.