Triple
T22023927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckeye, Arizona |
E543910
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Sidney, Arizona |
—
|
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: Sidney, Arizona | Statement: [Buckeye, Arizona, originalName, Sidney, Arizona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney, Arizona Context triple: [Buckeye, Arizona, originalName, Sidney, Arizona]
-
A.
Sidney, Arizona
chosen
Sidney, Arizona is the former name of the city now known as Buckeye, a community in Maricopa County in the Phoenix metropolitan area.
-
B.
Seligman, Arizona
Seligman, Arizona is a small historic town on Route 66 known for its classic Americana charm and role in inspiring the fictional Radiator Springs in Pixar’s "Cars."
-
C.
Stoneman, Arizona
Stoneman, Arizona is a former military camp site and historic locale in Arizona named in honor of U.S. Army General George Stoneman.
-
D.
Eloy, Arizona
Eloy, Arizona is a small city in south-central Arizona known for its desert landscape, skydiving centers, and location between Phoenix and Tucson.
-
E.
Youngtown, Arizona
Youngtown, Arizona is a small suburban town in Maricopa County known as one of the first master-planned retirement communities in the United States.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.