Triple
T1277259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mall, London |
E27242
|
entity |
| Predicate | majorRedesignPeriod |
P25681
|
FINISHED |
| Object | reign of King Edward VII |
—
|
LITERAL 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: reign of King Edward VII | Statement: [The Mall, London, majorRedesignPeriod, reign of King Edward VII]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRedesignPeriod Context triple: [The Mall, London, majorRedesignPeriod, reign of King Edward VII]
-
A.
majorRevisionYear
Indicates the year in which a significant or primary revision of something (such as a work, document, or standard) was made.
-
B.
majorRevisionDate
Indicates the date on which an entity underwent a significant or substantial update or revision.
-
C.
redesigned
Indicates that an entity has been modified or created anew in terms of its structure, appearance, or functionality, replacing a previous design.
-
D.
renovationPeriod
chosen
Indicates the time span during which an object, structure, or entity undergoes renovation or refurbishment.
-
E.
majorOperation
Indicates that one entity performs or undergoes a significant, large-scale, or primary operation or procedure involving another entity or context.
- F. None of above.
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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.