Triple
T3089589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Dunwich |
E299687
|
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: Dunwich | Statement: [Suffolk, containsSettlement, Dunwich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunwich Context triple: [Suffolk, containsSettlement, Dunwich]
-
A.
Dunwich
chosen
Dunwich is a small coastal village in Suffolk, England, historically significant as a once-thriving medieval port largely lost to the sea through coastal erosion.
-
B.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
-
C.
Oldtown
Oldtown was the original pioneer settlement that later developed into present-day Harrodsburg, Kentucky, one of the earliest permanent communities in the state.
-
D.
Blundeston
Blundeston is a small village and civil parish in Suffolk, England, known for its rural character and historical association with Charles Dickens’ novel "David Copperfield."
-
E.
Jerusalem's Lot, Maine
Jerusalem's Lot, Maine is the fictional small New England town that serves as the primary setting of Stephen King's vampire novel "Salem's Lot."
- 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.