Triple
T3089780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Friston |
E299713
|
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: Friston | Statement: [Suffolk, containsSettlement, Friston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friston Context triple: [Suffolk, containsSettlement, Friston]
-
A.
Friston
chosen
Friston is a small village and civil parish located in the county of Suffolk in eastern England.
-
B.
Sydenham
Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
-
C.
Warburton
Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
-
D.
Warburton
Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
-
E.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
- 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.