Triple
T10700015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Ohio |
E252247
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Anna, Ohio |
E687960
|
NE FINISHED |
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: Anna, Ohio | Statement: [Western Ohio, containsCity, Anna, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna, Ohio Context triple: [Western Ohio, containsCity, Anna, Ohio]
-
A.
Anna, Ohio
chosen
Anna, Ohio is a small village in western Ohio known for its rural character and location within Shelby County.
-
B.
Laura, Ohio
Laura, Ohio is a small village located in Miami County in the western part of the U.S. state of Ohio.
-
C.
Collins, Ohio
Collins, Ohio is an unincorporated rural community located within Huron County in the U.S. state of Ohio.
-
D.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
E.
Holland, Ohio
Holland, Ohio is a small suburban village near Toledo known for its residential communities, local parks, and role as part of the greater Lucas County metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.