Triple
T20075391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Brook School |
E499848
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Windham |
—
|
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: Windham | Statement: [Golden Brook School, city, Windham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windham Context triple: [Golden Brook School, city, Windham]
-
A.
Guilford
Guilford is a town located within the Windham Region of Vermont, known for its rural character and New England landscape.
-
B.
Guilford
Guilford is a British territorial designation historically associated with the noble title of Baron Guilford.
-
C.
Windham, Connecticut
Windham, Connecticut is a historic town in eastern Connecticut known for its colonial-era roots and association with early American statesman Samuel Huntington.
-
D.
Fairville
Fairville is a residential neighbourhood located on the west side of Saint John, New Brunswick, Canada.
-
E.
Windham, Vermont
chosen
Windham, Vermont is a small rural town in southeastern Vermont known for its scenic Green Mountain landscapes and quiet, forested countryside.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643ab0448190ab18d013b72aaf32 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.