Triple
T8146402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Lake |
E190221
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Vineyard, Utah |
E585147
|
NE 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: Vineyard, Utah | Statement: [Utah Lake, locatedNear, Vineyard, Utah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vineyard, Utah Context triple: [Utah Lake, locatedNear, Vineyard, Utah]
-
A.
Vineyard, Utah
chosen
Vineyard, Utah is a rapidly growing suburban city in central Utah known for its recent development on former Geneva Steel mill land along the eastern shore of Utah Lake.
-
B.
Ivins, Utah
Ivins, Utah is a small city in southwestern Utah known for its red rock scenery, proximity to Snow Canyon State Park, and growing residential and resort communities.
-
C.
Vernon, Utah
Vernon, Utah is a small rural town in Tooele County known for its agricultural character and wide-open desert landscapes in western Utah.
-
D.
La Verkin, Utah
La Verkin, Utah is a small city in southwestern Utah near Zion National Park, known for its scenic red rock landscapes and outdoor recreation opportunities.
-
E.
Lynndyl, Utah
Lynndyl, Utah is a small rural town in central Utah known for its agricultural surroundings and proximity to major rail lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4447dbc48190affb0f34f6c85f5a |
completed | March 31, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94b667d88190a0b47c7e0e07f338 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 5:36 p.m.