Triple
T19293237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Ætheling |
E482493
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Winchester |
—
|
NE NERFINISHED |
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: Winchester | Statement: [William Ætheling, birthPlace, Winchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winchester Context triple: [William Ætheling, birthPlace, Winchester]
-
A.
Winchester
Winchester is the codename for a 90 nm revision of AMD's Athlon 64 processor core known for improved power efficiency and lower heat output.
-
B.
Winchester
Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
-
C.
Winchester
chosen
Winchester is a historic cathedral city in Hampshire, England, known for its medieval architecture and former status as the capital of the Kingdom of Wessex.
-
D.
Winchester
Winchester is a small rural community in eastern Ontario, Canada, known for its agricultural surroundings and close-knit local character.
-
E.
Winchester
Winchester is a historic American firearms and ammunition brand known for its iconic lever-action rifles and long association with hunting and sport shooting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc824b448190865230eed8ef9ebf |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.