Triple
T3089554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Leiston |
E299690
|
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: Leiston | Statement: [Suffolk, containsSettlement, Leiston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leiston Context triple: [Suffolk, containsSettlement, Leiston]
-
A.
Leiston
chosen
Leiston is a small town in eastern England known for its industrial heritage and proximity to the Suffolk coast.
-
B.
Denston
Denston is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
C.
Bildeston
Bildeston is a historic village and civil parish located in the county of Suffolk in eastern England.
-
D.
Huntingdon
Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
-
E.
Wherstead
Wherstead is a small rural village and civil parish located just south of Ipswich in Suffolk, England, known for its agricultural landscape and proximity to the River Orwell.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20d8f788190b05b8b6b5042bc1a |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8a4c1f08190a80efd190e4ed07f |
completed | March 11, 2026, 11:20 p.m. |
Created at: March 8, 2026, 3:03 p.m.