Triple
T18480097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Green |
E451533
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Sneinton |
—
|
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: Sneinton | Statement: [George Green, residence, Sneinton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sneinton Context triple: [George Green, residence, Sneinton]
-
A.
Sneinton
chosen
Sneinton is a district of Nottingham, England, historically notable as the birthplace of mathematician and physicist George Green.
-
B.
Southwick
Southwick is a small unincorporated rural community located in Nez Perce County in the north-central region of Idaho, United States.
-
C.
Southwick
Southwick is a coastal town in southern England situated between Brighton and Shoreham-by-Sea.
-
D.
Southwick
Southwick is a small village in Wiltshire, England, situated just southwest of the town of Trowbridge.
-
E.
Minworth
Minworth is a suburban village in the north-east of Birmingham, England, known for its industrial estates, residential areas, and proximity to major transport routes.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53066a7108190a50eda9b489c90ca |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:35 a.m.