Triple
T9237245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pure Prairie League |
E221968
|
entity |
| Predicate | origin |
P410
|
FINISHED |
| Object |
Waverly, Ohio
Waverly, Ohio is a small city in southern Ohio known as the hometown of the country rock band Pure Prairie League.
|
E819531
|
NE FINISHED |
How this triple was built (4 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: Waverly, Ohio | Statement: [Pure Prairie League, origin, Waverly, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waverly, Ohio Context triple: [Pure Prairie League, origin, Waverly, Ohio]
-
A.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
B.
Whitehouse, Ohio
Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
-
C.
Whitehall, Ohio
Whitehall, Ohio is a small suburban city in central Ohio that functions as an inner-ring suburb of Columbus.
-
D.
Wilmington, Ohio
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
-
E.
Willard, Ohio
Willard, Ohio is a small city in north-central Ohio known historically as a railroad town and for its agricultural and manufacturing industries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Waverly, Ohio Triple: [Pure Prairie League, origin, Waverly, Ohio]
Generated description
Waverly, Ohio is a small city in southern Ohio known as the hometown of the country rock band Pure Prairie League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waverly, Ohio Target entity description: Waverly, Ohio is a small city in southern Ohio known as the hometown of the country rock band Pure Prairie League.
-
A.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
B.
Whitehouse, Ohio
Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
-
C.
Whitehall, Ohio
Whitehall, Ohio is a small suburban city in central Ohio that functions as an inner-ring suburb of Columbus.
-
D.
Wilmington, Ohio
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
-
E.
Willard, Ohio
Willard, Ohio is a small city in north-central Ohio known historically as a railroad town and for its agricultural and manufacturing industries.
- F. None of above. chosen
Provenance (5 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09e553081909cf864635cfc5dcc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bca05c608190935af17d94c567d6 |
completed | April 5, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69d1bd5820408190a4f5f7ef8b0e14aa |
completed | April 5, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bdc0135881909b69814e6cf3741b |
completed | April 5, 2026, 1:41 a.m. |
Created at: March 30, 2026, 7:29 p.m.