Triple
T19836733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maplewood Park |
E476615
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Georgetown 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: Georgetown Township | Statement: [Maplewood Park, municipality, Georgetown Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgetown Township Context triple: [Maplewood Park, municipality, Georgetown Township]
-
A.
Georgetown Township
Georgetown Township is a local governmental subdivision in Floyd County, Indiana, encompassing the community of Georgetown and surrounding areas.
-
B.
Georgetown Township
Georgetown Township is a civil township in Ottawa County, Michigan, known as a suburban community within the Grand Rapids metropolitan area.
-
C.
Grafton Township
Grafton Township is a civil township located within Lorain County in the state of Ohio, United States.
-
D.
Hilliard Township
Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
E.
Watertown Township
Watertown Township is a civil township located in Clinton County in the U.S. state of Michigan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d275608190841b23de167c401e |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.