Triple
T22856833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meridian, Idaho |
E566505
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Nampa, Idaho |
—
|
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: Nampa, Idaho | Statement: [Meridian, Idaho, adjacentTo, Nampa, Idaho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nampa, Idaho Context triple: [Meridian, Idaho, adjacentTo, Nampa, Idaho]
-
A.
Nampa
chosen
Nampa is a rapidly growing city in southwestern Idaho, known as part of the Boise metropolitan area and a regional center for agriculture, manufacturing, and transportation.
-
B.
Meridian, Idaho
Meridian, Idaho is a rapidly growing suburban city in the Boise metropolitan area known for its family-friendly neighborhoods, schools, and parks.
-
C.
Farmington, Idaho
Farmington, Idaho is a small unincorporated rural community located in Latah County in the northern part of the state.
-
D.
Lewiston, Idaho
Lewiston, Idaho is a small city in north-central Idaho known as a key port on the Snake River and a regional hub for the Inland Northwest.
-
E.
Boise City
Boise City is a small rural city in the Oklahoma Panhandle known for its agricultural economy and its distinction as one of the few U.S. towns bombed during World War II (in a training accident).
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebd7d48819085f350f2ce4144a0 |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.