Triple
T19323752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cache Valley |
E483292
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | College Ward, Utah |
—
|
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: College Ward, Utah | Statement: [Cache Valley, containsTown, College Ward, Utah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College Ward, Utah Context triple: [Cache Valley, containsTown, College Ward, Utah]
-
A.
College Ward, Utah
chosen
College Ward, Utah is a small unincorporated community in Cache County known for its rural character within the Cache Valley region.
-
B.
Washington Terrace, Utah
Washington Terrace, Utah is a small suburban city in northern Utah’s Weber County, located just south of Ogden in the greater Ogden–Clearfield metropolitan area.
-
C.
Marysvale, Utah
Marysvale, Utah is a small town in Piute County known for its scenic Sevier River valley setting, outdoor recreation, and historic mining heritage.
-
D.
Lynndyl, Utah
Lynndyl, Utah is a small rural town in central Utah known for its agricultural surroundings and proximity to major rail lines.
-
E.
Elwood, Utah
Elwood, Utah is a small rural town located in northern Utah within the Bear River Valley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8a07508190a2e5f8972d1efba0 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.