Triple
T12538964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assington |
E299784
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Leavenheath |
E299783
|
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: Leavenheath | Statement: [Assington, isNear, Leavenheath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leavenheath Context triple: [Assington, isNear, Leavenheath]
-
A.
Leavenheath
chosen
Leavenheath is a village and civil parish on the border of Suffolk and Essex in eastern England, known for its rural setting near Dedham Vale and the Suffolk countryside.
-
B.
Horningsheath
Horningsheath is the former name of Horringer, a village in Suffolk, England, known for its historic rural character and proximity to Ickworth House.
-
C.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
D.
Thurne
Thurne is a small village in Norfolk, England, known for its location within the Norfolk Broads and its iconic Thurne windpump.
-
E.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
- 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_69d9546ebf508190ae54857e4289c6e4 |
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.