Triple
T18647474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakwood Industrial School |
E455838
|
entity |
| Predicate | campusName |
P26197
|
FINISHED |
| Object | Oakwood |
—
|
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: Oakwood | Statement: [Oakwood Industrial School, campusName, Oakwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakwood Context triple: [Oakwood Industrial School, campusName, Oakwood]
-
A.
Oakwood
chosen
Oakwood is a historically Black Seventh-day Adventist university in Huntsville, Alabama, known for its strong liberal arts and religious studies programs.
-
B.
Oakwood
Oakwood is a small village located in Clay County, Missouri, within the Kansas City metropolitan area.
-
C.
Oakwood
Oakwood is a suburban residential area in North London known for its proximity to Oakwood Underground station on the Piccadilly line and nearby green spaces.
-
D.
Oakwood
Oakwood is a village in Cuyahoga County, Ohio, that forms part of the southeastern suburban area of Greater Cleveland.
-
E.
Oakwood
Oakwood is a small city located in Hall County in the U.S. state of Georgia, known for its proximity to Lake Lanier and the University of North Georgia’s Gainesville campus.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.