Triple
T2801527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Nacton |
E105441
|
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: Nacton | Statement: [Suffolk, England, containsSettlement, Nacton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nacton Context triple: [Suffolk, England, containsSettlement, Nacton]
-
A.
Nacton
chosen
Nacton is a village and civil parish in Suffolk, England, situated near the River Orwell and known for its rural character and historic estates.
-
B.
Wicken
Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
-
C.
Upavon
Upavon is a village on Salisbury Plain in Wiltshire, England, notable for its long military association and nearby army and air force facilities.
-
D.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
-
E.
Snodland
Snodland is a small town in Kent, England, known historically for its cement and paper industries and its location between Maidstone and Rochester.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.