Triple
T21937467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dymond |
E541729
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Harley Township |
—
|
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: Harley Township | Statement: [Dymond, adjacentTo, Harley Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harley Township Context triple: [Dymond, adjacentTo, Harley Township]
-
A.
Harley Township
chosen
Harley Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
B.
Hilliard Township
Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
C.
Harrison Township
Harrison Township is a suburban municipality in Gloucester County, New Jersey, known for its residential communities, local schools, and semi-rural character.
-
D.
Sylvania Township
Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
-
E.
Henrietta Township
Henrietta Township is a rural civil township located in Lorain County in northern Ohio, United States.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241e35bc81909eb3225d5cd97b92 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:55 p.m.