Triple
T12536825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Trinity Church, Blythburgh |
E299712
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Blythburgh |
E299712
|
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: Blythburgh | Statement: [Holy Trinity Church, Blythburgh, locatedIn, Blythburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blythburgh Context triple: [Holy Trinity Church, Blythburgh, locatedIn, Blythburgh]
-
A.
Blythburgh
chosen
Blythburgh is a small historic village in Suffolk, England, known for its scenic setting by the River Blyth and its prominent medieval church, often called the “Cathedral of the Marshes.”
-
B.
Eynesbury
Eynesbury is a historic district and former village now effectively part of the town of St Neots in Cambridgeshire, England.
-
C.
Woolpit
Woolpit is a historic village in Suffolk, England, best known for the medieval legend of the Green Children of Woolpit.
-
D.
Swaffham Bulbeck
Swaffham Bulbeck is a rural village and civil parish in Cambridgeshire, England, known for its historic church, traditional architecture, and agricultural surroundings.
-
E.
Amesbury
Amesbury is a historic New England city in northeastern Massachusetts known for its early shipbuilding and industrial heritage along the Merrimack River.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb10618819092540de09997a0c5 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:57 p.m.