Triple
T19956590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braddan |
E479698
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Santon |
—
|
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: Santon | Statement: [Braddan, adjacentTo, Santon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santon Context triple: [Braddan, adjacentTo, Santon]
-
A.
Santon
chosen
Santon is a small rural parish on the Isle of Man known for its coastal scenery and historic church.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Chaykin
Chaykin is a surname most notably associated with Canadian-American character actor Maury Chaykin.
-
D.
Salcha
Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
-
E.
Crozant
Crozant is a picturesque rural commune in central France known for its dramatic river gorges, medieval castle ruins, and its role as an inspiration for many landscape painters.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af08e008190a3a1b807b638a99e |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.