Triple
T1326070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idaho |
E28328
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Idaho Falls |
E99194
|
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: Idaho Falls | Statement: [Idaho, hasMajorCity, Idaho Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idaho Falls Context triple: [Idaho, hasMajorCity, Idaho Falls]
-
A.
Twin Falls, Idaho
Twin Falls, Idaho is a small city in south-central Idaho known for its dramatic Snake River Canyon scenery, outdoor recreation, and role as a regional commercial hub.
-
B.
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.
-
C.
Nampa
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.
-
D.
Moscow, Idaho
Moscow, Idaho is a small university city in northern Idaho best known as the home of the University of Idaho and as a cultural and economic hub of the Palouse region.
-
E.
Idaho Falls, Idaho area
chosen
The Idaho Falls, Idaho area is a regional hub in eastern Idaho known for its role in nuclear research and engineering, outdoor recreation, and serving as a gateway to nearby national parks.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19fd2648190932a85eacb3e7ec4 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde12d0dc81908a09c0221b8db3f6 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:55 p.m.