Triple
T4336092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palouse region |
E97466
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Moscow, Idaho |
E95432
|
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: Moscow, Idaho | Statement: [Palouse region, majorCity, Moscow, Idaho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moscow, Idaho Context triple: [Palouse region, majorCity, Moscow, Idaho]
-
A.
Moscow, Idaho
chosen
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.
-
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.
Twin Falls
Twin Falls is a spectacular multi-tiered waterfall and popular natural attraction located within Kakadu National Park in Australia’s Northern Territory.
-
D.
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.
-
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 (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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0ace26881908cfc7950dc7a6cf8 |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.