Triple
T20049470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunbar parish |
E499153
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Belhaven |
—
|
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: Belhaven | Statement: [Dunbar parish, contains, Belhaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belhaven Context triple: [Dunbar parish, contains, Belhaven]
-
A.
Belhaven
Belhaven is a small community located within the town of Georgina in Ontario, Canada.
-
B.
Belhaven
chosen
Belhaven is a coastal village in East Lothian, Scotland, known for its scenic beach and historic links to the nearby town of Dunbar.
-
C.
Halliford
Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
-
D.
Cooksville
Cooksville is a central, historically significant neighbourhood in the city of Mississauga, Ontario, known as an early settlement and key transit hub.
-
E.
Toccoa Falls
Toccoa Falls is a picturesque 186-foot waterfall located on the campus of Toccoa Falls College in northeastern Georgia, known for its scenic beauty and accessibility.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632cccb481908278c8b2930a8c26 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.