Triple
T23144772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medina County |
E577555
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Wadsworth
Wadsworth is a small city in northeastern Ohio known for its residential communities and local industries.
|
E1574506
|
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: Wadsworth | Statement: [Medina County, hasCity, Wadsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wadsworth Context triple: [Medina County, hasCity, Wadsworth]
-
A.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
B.
Wadsworth
Wadsworth is an academic publishing imprint known for producing college-level textbooks and educational materials, particularly in the humanities and social sciences.
-
C.
Wadsworth
Wadsworth is an English-origin surname historically borne by several notable American families, including that of Zilpah Wadsworth, mother of poet Henry Wadsworth Longfellow.
-
D.
Wentworthe
Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
-
E.
Nutwood
Nutwood is the idyllic English village that serves as the primary setting for the classic British children's comic strip and stories about Rupert Bear.
- 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: Wadsworth Triple: [Medina County, hasCity, Wadsworth]
Generated description
Wadsworth is a small city in northeastern Ohio known for its residential communities and local industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wadsworth Target entity description: Wadsworth is a small city in northeastern Ohio known for its residential communities and local industries.
-
A.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
B.
Wadsworth
Wadsworth is an academic publishing imprint known for producing college-level textbooks and educational materials, particularly in the humanities and social sciences.
-
C.
Wadsworth
Wadsworth is an English-origin surname historically borne by several notable American families, including that of Zilpah Wadsworth, mother of poet Henry Wadsworth Longfellow.
-
D.
Wentworthe
Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
-
E.
Nutwood
Nutwood is the idyllic English village that serves as the primary setting for the classic British children's comic strip and stories about Rupert Bear.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecd40108190aaad7faf754b7936 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3091b7b8819083d7fd257275bdd0 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c317030c481908991f978ca15085e |
completed | May 19, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c322595308190b33c9e09fb26c2cc |
completed | May 19, 2026, 9:49 a.m. |
Created at: April 17, 2026, 4:01 p.m.