Triple
T14836093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downend |
E348833
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mangotsfield |
E345937
|
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: Mangotsfield | Statement: [Downend, near, Mangotsfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangotsfield Context triple: [Downend, near, Mangotsfield]
-
A.
Mangotsfield
chosen
Mangotsfield is a suburban village and former civil parish on the outskirts of Bristol in South Gloucestershire, England.
-
B.
Tatsfield
Tatsfield is a village and civil parish in the Tandridge district of Surrey, England, situated near the border with Greater London and Kent.
-
C.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
D.
Austerfield
Austerfield is a small village in South Yorkshire, England, notable for its historic church and connections to early English history.
-
E.
Barnes Green
Barnes Green is a small public green and pond area in the riverside district of Barnes in southwest London, serving as a local park and community focal point.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded076ac9c8190a05cabec5e87d207 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a5d8888190821988ad00351d05 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.