Triple
T3089677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | West Stow |
E299766
|
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: West Stow | Statement: [Suffolk, containsSettlement, West Stow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Stow Context triple: [Suffolk, containsSettlement, West Stow]
-
A.
West Stow
chosen
West Stow is a small village in Suffolk, England, best known for its reconstructed Anglo-Saxon village and archaeological site.
-
B.
Glemsford
Glemsford is a village and civil parish in the county of Suffolk in eastern England, known for its historic buildings and rural character.
-
C.
Standon
Standon is a village and civil parish in Hertfordshire, England, known for its historic church, traditional architecture, and rural setting.
-
D.
Witham
Witham is a town in the county of Essex, England, known as a residential and commuter community between Chelmsford and Colchester.
-
E.
Tyringham
Tyringham is a small rural town in western Massachusetts known for its scenic landscapes and historic New England character.
- 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.