Triple
T20411675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winscombe |
E500600
|
entity |
| Predicate | civilParishIncludes |
P852
|
FINISHED |
| Object | Sandford |
—
|
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: Sandford | Statement: [Winscombe, civilParishIncludes, Sandford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandford Context triple: [Winscombe, civilParishIncludes, Sandford]
-
A.
Sandford
Sandford is the fictional English village that serves as the primary setting of the film "Hot Fuzz."
-
B.
Sandford
Sandford is the maiden surname of English singer and television personality Frankie Bridge, formerly known as Frankie Sandford from the girl group The Saturdays.
-
C.
Sandford
Sandford is the given name of Sandford Fleming, the Canadian engineer and inventor best known for proposing worldwide standard time zones.
-
D.
Sandford
chosen
Sandford is a village in North Somerset, England, situated near Winscombe and known for its rural character and local cider production.
-
E.
Wellford
Wellford is a small city located in Spartanburg County in the Upstate region of South Carolina, United States.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3f8fdc8190b05b6c41b38f34b7 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.