Triple
T22340033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadtholderless Periods |
E552247
|
entity |
| Predicate | significantOfficeAbsent |
P14452
|
FINISHED |
| Object | stadtholder |
—
|
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: stadtholder | Statement: [Stadtholderless Periods, significantOfficeAbsent, stadtholder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantOfficeAbsent Context triple: [Stadtholderless Periods, significantOfficeAbsent, stadtholder]
-
A.
lostOfficeBecauseOf
Indicates that an entity ceased to hold an office or position as a consequence of another specified factor, event, or entity.
-
B.
notableAbsence
chosen
Indicates that something or someone is conspicuously missing from a context where their presence would normally be expected or significant.
-
C.
importantOffice
Indicates that an entity holds or is associated with a position or office considered significant or high in importance within a given context.
-
D.
significantAction
Indicates that an action taken by an entity is of notable importance or consequence within a given context or process.
-
E.
significantPort
Indicates that a port holds major importance in terms of trade, transportation, or strategic relevance within a given 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157824f588190882bea9e61dd5a83 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.