Triple
T19953711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fyfield (near Kimpton) |
E479627
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Fyfield |
—
|
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: Fyfield | Statement: [Fyfield (near Kimpton), hasName, Fyfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fyfield Context triple: [Fyfield (near Kimpton), hasName, Fyfield]
-
A.
Fyfield
chosen
Fyfield is a small village in Essex, England, known for its rural character and historic parish setting.
-
B.
Farnsfield
Farnsfield is a rural village and civil parish in Nottinghamshire, England, known for its countryside setting and historic parish church.
-
C.
Itchingfield
Itchingfield is a small rural village and civil parish in West Sussex, England, known for its countryside setting within the Horsham District.
-
D.
Winchfield
Winchfield is a village in Hampshire, England, known for its rural character and railway station on the main line between London and Basingstoke.
-
E.
Yarrowford
Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aee23488190bd92c1593fbc241c |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.