Triple
T10359139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific University |
E244085
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Forest Grove |
E38205
|
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: Forest Grove | Statement: [Pacific University, city, Forest Grove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forest Grove Context triple: [Pacific University, city, Forest Grove]
-
A.
Forest Grove, Oregon
chosen
Forest Grove, Oregon is a small city west of Portland known for its historic downtown, proximity to Willamette Valley wine country, and as the home of Pacific University.
-
B.
Cottage Grove
Cottage Grove is a Chicago 'L' rapid transit station on the Green Line serving the city's East Garfield Park neighborhood.
-
C.
Cottage Grove
Cottage Grove is a suburban village in south-central Wisconsin known for its residential communities and proximity to Madison.
-
D.
Isleton
Isleton is a small historic city in California’s Sacramento–San Joaquin River Delta, known for its legacy as a former riverboat and agricultural hub with notable Chinese and Japanese American heritage.
-
E.
Cottage Grove, Oregon
Cottage Grove, Oregon is a small historic city in the southern Willamette Valley known for its covered bridges, outdoor recreation, and former gold mining heritage.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b1c5e4c81909628c77b80805353 |
completed | April 17, 2026, 1:52 p.m. |
Created at: April 6, 2026, 11:59 a.m.