Triple
T19833889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulwell |
E476532
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Southwick |
—
|
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: Southwick | Statement: [Fulwell, nearbyArea, Southwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southwick Context triple: [Fulwell, nearbyArea, Southwick]
-
A.
Southwick
Southwick is a small village in Wiltshire, England, situated just southwest of the town of Trowbridge.
-
B.
Southwick
chosen
Southwick is a coastal town in southern England situated between Brighton and Shoreham-by-Sea.
-
C.
Southwick
Southwick is a small unincorporated rural community located in Nez Perce County in the north-central region of Idaho, United States.
-
D.
Sneinton
Sneinton is a district of Nottingham, England, historically notable as the birthplace of mathematician and physicist George Green.
-
E.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d0347c8190b586c7fe01b61e97 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.