Triple
T8757356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Valley |
E208103
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Burley |
E754639
|
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: Burley | Statement: [Magic Valley, hasCity, Burley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burley Context triple: [Magic Valley, hasCity, Burley]
-
A.
Burley
chosen
Burley is a small agricultural and commercial city in south-central Idaho known for its farming, food processing, and location along the Snake River.
-
B.
Fernley
Fernley is a small city in western Nevada known for its location along Interstate 80 and its role as a growing residential and logistics hub near Reno.
-
C.
Riverton
Riverton is a suburban city in the southern part of the Salt Lake Valley in Utah, known for its residential communities and family-oriented amenities.
-
D.
Willits
Willits is a small city in Northern California known as the "Gateway to the Redwoods" and for its historic Skunk Train.
-
E.
Kelso
Kelso is a historic market town in the Scottish Borders, known for its picturesque setting at the confluence of the Rivers Tweed and Teviot and the ruins of Kelso Abbey.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddabdc88190ba50ef1833a815d0 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf519175248190b53c8958cfeeebfa |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:40 p.m.