Triple
T38066842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washer Woman Arch |
E950491
|
entity |
| Predicate | famousViewpoint |
P9193
|
FINISHED |
| Object | Mesa Arch |
—
|
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: Mesa Arch | Statement: [Washer Woman Arch, famousViewpoint, Mesa Arch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousViewpoint Context triple: [Washer Woman Arch, famousViewpoint, Mesa Arch]
-
A.
bestKnownViewpoints
Indicates that certain viewpoints are the most widely recognized or authoritative perspectives associated with a given subject or entity.
-
B.
isScenicViewpoint
Indicates that a location offers a notable, aesthetically pleasing view of the surrounding landscape.
-
C.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
D.
hasScenicViewOf
chosen
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
E.
typicalSights
Indicates that certain sights or visual features are commonly or characteristically observed in association with a given entity or context.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.