Triple
T19184375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Vereker, 6th Viscount Gort |
E469660
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | United Kingdom (exact location not specified here) |
—
|
NE NERFINISHED |
How this triple was built (3 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: United Kingdom (exact location not specified here) | Statement: [John Vereker, 6th Viscount Gort, burialPlace, United Kingdom (exact location not specified here)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Kingdom (exact location not specified here) Context triple: [John Vereker, 6th Viscount Gort, burialPlace, United Kingdom (exact location not specified here)]
-
A.
England, United Kingdom
England, United Kingdom is a constituent country of the UK known for its rich history, cultural influence, and major cities such as London.
-
B.
United Kingdom (work of fiction)
The United Kingdom in fiction is a frequently used setting that adapts the real-world nation’s geography, culture, and history for imaginative narratives across literature, film, and other media.
-
C.
Reading, United Kingdom
Reading, United Kingdom is a major commercial and technology hub in Berkshire, England, known for its strong IT sector and proximity to London.
-
D.
Scotland, United Kingdom
Scotland, United Kingdom is a constituent country in the northern part of Great Britain, known for its distinct legal and educational systems, rich cultural heritage, and varied landscapes from Highlands to major cities like Edinburgh and Glasgow.
-
E.
England (exact site uncertain)
England (exact site uncertain) refers to an unidentified location somewhere within England believed to be the burial place of Eleanor de Bohun.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United Kingdom (exact location not specified here) Target entity description: The United Kingdom is a sovereign country off the northwestern coast of mainland Europe, comprising England, Scotland, Wales, and Northern Ireland, known for its parliamentary democracy, global cultural influence, and historical role as a major world power.
-
A.
England, United Kingdom
England, United Kingdom is a constituent country of the UK known for its rich history, cultural influence, and major cities such as London.
-
B.
United Kingdom (work of fiction)
The United Kingdom in fiction is a frequently used setting that adapts the real-world nation’s geography, culture, and history for imaginative narratives across literature, film, and other media.
-
C.
Reading, United Kingdom
Reading, United Kingdom is a major commercial and technology hub in Berkshire, England, known for its strong IT sector and proximity to London.
-
D.
Scotland, United Kingdom
Scotland, United Kingdom is a constituent country in the northern part of Great Britain, known for its distinct legal and educational systems, rich cultural heritage, and varied landscapes from Highlands to major cities like Edinburgh and Glasgow.
-
E.
England (exact site uncertain)
England (exact site uncertain) refers to an unidentified location somewhere within England believed to be the burial place of Eleanor de Bohun.
- F. None of above. chosen
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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61f1d9c8190b67555383d821958 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.