Triple
T18921968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon Shakespeare Festival |
E462879
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ashland, Oregon |
—
|
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: Ashland, Oregon | Statement: [Oregon Shakespeare Festival, locatedIn, Ashland, Oregon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashland, Oregon Context triple: [Oregon Shakespeare Festival, locatedIn, Ashland, Oregon]
-
A.
Ashland, Oregon
chosen
Ashland, Oregon is a small city in southern Oregon best known for its vibrant arts scene and the renowned Oregon Shakespeare Festival.
-
B.
Ashland
Ashland is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
-
C.
Ashland
Ashland is a small New England town in Grafton County, New Hampshire, known for its historic mill heritage and scenic location near Squam Lake.
-
D.
Ashland
Ashland is a town that serves as the community setting for Ashland Middle School.
-
E.
Ashland
Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b4822c8190a0aeceb4499e775e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.