Triple
T13763168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blyford |
E330665
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Blyford |
E330665
|
NE FINISHED |
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: Blyford | Statement: [Blyford, civilParish, Blyford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blyford Context triple: [Blyford, civilParish, Blyford]
-
A.
Blyford
chosen
Blyford is a small rural village located in the English county of Suffolk.
-
B.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
C.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
-
D.
Grindon
Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
-
E.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02250f4881908d5193b3d5d25844 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d28cc88190af46b86473af0a1c |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:10 p.m.