Triple
T21964946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckland |
E542433
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Fratton |
—
|
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: Fratton | Statement: [Buckland, near, Fratton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fratton Context triple: [Buckland, near, Fratton]
-
A.
Fratton
chosen
Fratton is a residential and commercial district of Portsmouth, England, known for its railway station and proximity to Portsmouth city centre.
-
B.
Fratton
Fratton is the commonly used nickname for Fratton Park, the historic home stadium of Portsmouth Football Club in Portsmouth, England.
-
C.
Haggerston
Haggerston is a district in East London, England, historically part of Shoreditch and known for its Victorian-era development and later urban regeneration.
-
D.
Wapping
Wapping is a historic riverside district in East London, England, known for its maritime heritage, old docks, and cobbled streets along the River Thames.
-
E.
Coggeshall
Coggeshall is a historic market town in Essex, England, known for its medieval buildings and long-standing textile and lace-making heritage.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12459e1848190aa8d4ccc97f434b8 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.