Triple
T10203148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorney |
E238933
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Windsor |
E34732
|
NE FINISHED |
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: Windsor | Statement: [Dorney, hasNearbyTown, Windsor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windsor Context triple: [Dorney, hasNearbyTown, Windsor]
-
A.
Windsor
Windsor is the royal house and family name of the reigning British monarchs, adopted in the early 20th century and borne by Queen Elizabeth II and her descendants.
-
B.
Windsor
chosen
Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
-
C.
Windsor
Windsor is a small town in Sonoma County, California, known for its wineries, scenic surroundings, and role as a gateway to the Russian River Valley wine region.
-
D.
Windsor
Windsor is a small town in northern Colorado known for its rapidly growing residential communities and proximity to major Front Range cities like Fort Collins and Greeley.
-
E.
Windsor
Windsor is a historic town in Connecticut recognized as the state's first English settlement and now part of the Hartford metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee4239c08190b40f5cc19c3db3c7 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d369b043608190a740621a2eeb49ed |
completed | April 6, 2026, 8:07 a.m. |
Created at: March 30, 2026, 9:14 p.m.