Triple
T23290981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stone Mills |
E590027
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Centreville |
—
|
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: Centreville | Statement: [Stone Mills, hasSettlement, Centreville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centreville Context triple: [Stone Mills, hasSettlement, Centreville]
-
A.
Centreville
chosen
Centreville is a small rural community in eastern Ontario, Canada, known for its agricultural surroundings and village character within the Township of Stone Mills.
-
B.
Centreville
Centreville is a suburban community in Fairfax County, Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
-
C.
Leesburg
Leesburg is a small city in central Florida known for its historic downtown, numerous lakes, and annual festivals such as Bikefest.
-
D.
Leesburg
Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
-
E.
Herndon
Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cb3fec8190a95255da97dd984e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:01 p.m.