Triple
T20840946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waynesburg, Ohio |
E513099
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Waynesburg, Ohio |
E513099
|
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: Waynesburg, Ohio | Statement: [Waynesburg, Ohio, hasOfficialName, Waynesburg, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waynesburg, Ohio Context triple: [Waynesburg, Ohio, hasOfficialName, Waynesburg, Ohio]
-
A.
Waynesburg, Ohio
chosen
Waynesburg, Ohio is a small village in northeastern Ohio known for its rural community character within the Canton–Massillon metropolitan area.
-
B.
Waynesville, Ohio
Waynesville, Ohio is a small village in Warren County known for its historic charm and annual Sauerkraut Festival.
-
C.
Wellsville, Ohio
Wellsville, Ohio is a small village along the Ohio River in Columbiana County known for its historic riverfront and industrial heritage.
-
D.
Waynesburg, Pennsylvania
Waynesburg, Pennsylvania is a small borough in southwestern Pennsylvania known for being the home of Waynesburg University and for its historic downtown and coal-mining heritage.
-
E.
Harrisburg, Ohio
Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34b17b88190b3290bd5100ad2ad |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17c7198c8190b96754a4a0b317c1 |
completed | May 18, 2026, 1:44 p.m. |
Created at: April 16, 2026, 12:43 p.m.