Triple
T13905672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bramhall |
E334342
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Bramhall Hall |
E334342
|
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: Bramhall Hall | Statement: [Bramhall, hasLandmark, Bramhall Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bramhall Hall Context triple: [Bramhall, hasLandmark, Bramhall Hall]
-
A.
Bramhall
chosen
Bramhall is a suburban village in Greater Manchester, England, known for its affluent residential character and historic Bramhall Hall.
-
B.
Blakesley Hall
Blakesley Hall is a well-preserved Tudor-era timber-framed manor house in Birmingham, England, now functioning as a historic house museum.
-
C.
Galbraith Hall
Galbraith Hall is an academic building at UC San Diego’s Revelle College that houses classrooms, offices, and instructional facilities.
-
D.
Botterell Hall
Botterell Hall is a major academic and research building at Queen's University in Kingston, Ontario, primarily housing facilities for the Faculty of Health Sciences and medical research.
-
E.
Pound Hall
Pound Hall is a major academic and administrative building at Harvard Law School that houses classrooms, faculty offices, and legal research 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25dc26cc8190a7909980b1d34933 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c724c6188190ae0c2784c3b48a12 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.