Triple
T12846478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portneuf River |
E307188
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Pocatello |
E161847
|
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: Pocatello | Statement: [Portneuf River, hasCityOnBank, Pocatello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pocatello Context triple: [Portneuf River, hasCityOnBank, Pocatello]
-
A.
Pocatello
chosen
Pocatello is a city in southeastern Idaho known as a regional hub for education, commerce, and transportation.
-
B.
Idaho Falls
Idaho Falls is a city in eastern Idaho known as a regional commercial and cultural hub along the Snake River and a gateway to nearby national parks like Yellowstone and Grand Teton.
-
C.
Rexburg, Idaho
Rexburg, Idaho is a small city in eastern Idaho known for housing Brigham Young University–Idaho and serving as a regional educational and agricultural center.
-
D.
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.
-
E.
Twin Falls
Twin Falls is a scenic waterfall and popular hiking destination within Springbrook National Park in Queensland, Australia.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a549fc188190a7dfcf16faa5e415 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:36 p.m.