Triple
T13847992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neston |
E332858
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | NESTON |
E953055
|
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: NESTON | Statement: [Neston, hasPostTown, NESTON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NESTON Context triple: [Neston, hasPostTown, NESTON]
-
A.
NESTON
chosen
NESTON is a town and civil parish on the Wirral Peninsula in Cheshire, England, known historically for its market and proximity to the Dee Estuary.
-
B.
Nerston
Nerston is a locality in South Lanarkshire, Scotland, known primarily as a residential area with nearby industrial and commercial facilities.
-
C.
Little Neston
Little Neston is a village on the Wirral Peninsula in Cheshire, England, known for its residential character and proximity to the Dee Estuary.
-
D.
Nacton
Nacton is a village and civil parish in Suffolk, England, situated near the River Orwell and known for its rural character and historic estates.
-
E.
Nonington
Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f189008190bb9afeef42564a33 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.