Triple
T19203304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvania Fall Festival |
E480162
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | City of Sylvania |
—
|
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: City of Sylvania | Statement: [Sylvania Fall Festival, associatedWith, City of Sylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Sylvania Context triple: [Sylvania Fall Festival, associatedWith, City of Sylvania]
-
A.
City of Sylvania
chosen
The City of Sylvania is a municipal government in Ohio known for managing local services, parks, and community amenities for its residents.
-
B.
Mandrake Park
Mandrake Park is a public park in Chicago’s Oakland neighborhood that provides local residents with recreational green space and sports facilities.
-
C.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
D.
Southwoods City
Southwoods City is a large mixed-use township development in the Philippines featuring residential, commercial, and leisure components.
-
E.
City of Von Ormy
The City of Von Ormy is a small municipality in south-central Texas known for its location near San Antonio and its experiments with limited government and low-tax policies.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99a571c8190a1d53eb1994e0058 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:15 p.m.