Triple
T12539644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woolpit church |
E299802
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Woolpit |
E301433
|
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: Woolpit | Statement: [Woolpit church, locatedIn, Woolpit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woolpit Context triple: [Woolpit church, locatedIn, Woolpit]
-
A.
Woolpit
chosen
Woolpit is a historic village in Suffolk, England, best known for the medieval legend of the Green Children of Woolpit.
-
B.
Houghton Regis
Houghton Regis is a town in Bedfordshire, England, forming part of the Dunstable–Luton urban area and serving largely as a residential and commuter community.
-
C.
Eynesbury
Eynesbury is a historic district and former village now effectively part of the town of St Neots in Cambridgeshire, England.
-
D.
Blythburgh
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.”
-
E.
Sawston
Sawston is a large village and civil parish in Cambridgeshire, England, situated just south of Cambridge and known historically for its paper and leather industries.
- 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_69d9546fc620819093335988dbab3256 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685f99a08190b6fe4cc10f1c8d73 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:57 p.m.