Triple
T22298270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodyear |
E551180
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Buckeye |
—
|
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: Buckeye | Statement: [Goodyear, adjacentTo, Buckeye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buckeye Context triple: [Goodyear, adjacentTo, Buckeye]
-
A.
Buckeye
chosen
Buckeye is a rapidly growing city in the Phoenix metropolitan area of Arizona, known for its suburban expansion and proximity to the Sonoran Desert.
-
B.
Buckeye–Shaker
Buckeye–Shaker is a residential neighborhood on the east side of Cleveland, Ohio, known for its historic Shaker Square district and diverse community.
-
C.
Oho
Oho is a former municipality in Ibaraki Prefecture, Japan, that was merged into the city of Tsukuba.
-
D.
Shawnee
The Shawnee are an Algonquian-speaking Native American people historically based in the Ohio Valley, known for their resistance to U.S. expansion in the late 18th and early 19th centuries.
-
E.
Canisius
Canisius is a collegiate athletic program best known in this context for its men's ice hockey team, the Golden Griffins, which competes in NCAA Division I.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572200c88190b9413286136fef15 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.