Triple
T20755666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SFB |
E510837
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sanford, Florida |
—
|
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: Sanford, Florida | Statement: [SFB, locatedIn, Sanford, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanford, Florida Context triple: [SFB, locatedIn, Sanford, Florida]
-
A.
Sanford, Florida
chosen
Sanford, Florida is a historic city in central Florida on the southern shore of Lake Monroe, known as a transportation hub and gateway to the Orlando metropolitan area.
-
B.
Sanford
Sanford is the given first name of legendary American Major League Baseball pitcher Sandy Koufax.
-
C.
Sanford
Sanford is a classic American television sitcom best known for its sharp-tongued humor and portrayal of a cantankerous junk dealer and his family in Los Angeles.
-
D.
Sanford
Sanford is an American philanthropist and businessman best known for his major charitable contributions to healthcare and education institutions.
-
E.
Sanford
Sanford is a masculine given name most notably associated with American acting teacher Sanford Meisner.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22fbc4c8190866a888612c6ad23 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.