Triple
T22923743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova Scotia Highway 102 |
E569235
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Sackville |
—
|
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: Sackville | Statement: [Nova Scotia Highway 102, passesNear, Sackville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sackville Context triple: [Nova Scotia Highway 102, passesNear, Sackville]
-
A.
Sackville
Sackville is an English aristocratic family name historically associated with prominent political and military figures in Britain.
-
B.
Sackville
chosen
Sackville is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known as a residential and commercial hub for the greater Halifax area.
-
C.
Sackville
Sackville is a small town in southeastern New Brunswick, Canada, known for Mount Allison University and its nearby Tantramar Marshes.
-
D.
Elizabethport
Elizabethport is a historic waterfront neighborhood and port district in the city of Elizabeth, New Jersey.
-
E.
Flimwell
Flimwell is a small village in East Sussex, England, situated within the civil parish of Ticehurst.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d7973c8190b09a5690fd1d3f28 |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:43 p.m.