Triple
T21649639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barberton |
E534300
|
entity |
| Predicate | hasNewspaper |
P80
|
FINISHED |
| Object | Barberton Herald |
—
|
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: Barberton Herald | Statement: [Barberton, hasNewspaper, Barberton Herald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barberton Herald Context triple: [Barberton, hasNewspaper, Barberton Herald]
-
A.
Barberton
Barberton is a historic mining town in South Africa’s Mpumalanga province, known for its gold rush heritage and proximity to some of the world’s oldest exposed rocks.
-
B.
Barberton
chosen
Barberton is a small industrial city in northeastern Ohio known historically for its manufacturing base and proximity to Akron.
-
C.
City of Benton
The City of Benton is a small municipal government jurisdiction centered in Benton, a city in Marshall County, Kentucky.
-
D.
Barnes City
Barnes City is a small rural town located in the state of Iowa in the United States.
-
E.
Longbenton
Longbenton is a suburban area in Tyne and Wear, England, situated near Newcastle upon Tyne and known largely as a residential community.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5913cd9c81908a6ce9bc741416bf |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:35 p.m.