Triple
T19467358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osborne |
E487033
|
entity |
| Predicate | functionAfterVictoria |
P136033
|
FINISHED |
| Object | naval training college (part of estate) |
—
|
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: naval training college (part of estate) | Statement: [Osborne, functionAfterVictoria, naval training college (part of estate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionAfterVictoria Context triple: [Osborne, functionAfterVictoria, naval training college (part of estate)]
-
A.
functionAfterCivilWar
Indicates that one entity serves or operates in a particular function, role, or capacity following the end of a civil war.
-
B.
functionAfterReformation
Indicates that one function or role exists or is performed in the state or period following a process of reformation or reform.
-
C.
functionAfterPresidency
Indicates that a person held a particular official or notable function/role after their term as president had ended.
-
D.
classAfter
Indicates that one class or course occurs later in time or sequence than another class or course.
-
E.
monarchAfterEvent
Indicates that one entity became the reigning monarch of another entity following a specified event.
- F. None of above. chosen
Provenance (4 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:39 p.m.