Triple
T3089646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Polstead |
E299757
|
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: Polstead | Statement: [Suffolk, containsSettlement, Polstead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polstead Context triple: [Suffolk, containsSettlement, Polstead]
-
A.
Polstead
chosen
Polstead is a rural village and civil parish in Suffolk, England, noted for its historic countryside setting and traditional English character.
-
B.
Kennebunkport
Kennebunkport is a coastal resort town in southern Maine known for its historic charm, beaches, and long association with the Bush family.
-
C.
Soldotna
Soldotna is a small city on Alaska’s Kenai Peninsula known for its world-class salmon fishing on the Kenai River and its role as a regional service and tourism hub.
-
D.
North Haven
North Haven is a coastal town in New South Wales, Australia, known for its beaches and relaxed seaside lifestyle.
-
E.
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."
- 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.