Triple
T103733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Pensionary |
E2095
|
entity |
| Predicate | succeededByOffice |
P2717
|
FINISHED |
| Object | government offices of the Batavian Republic |
—
|
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: government offices of the Batavian Republic | Statement: [Grand Pensionary, succeededByOffice, government offices of the Batavian Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededByOffice Context triple: [Grand Pensionary, succeededByOffice, government offices of the Batavian Republic]
-
A.
successorOfficeTo
chosen
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
B.
combinedOfficeExistedUntil
Indicates that a merged or joint office or position remained in existence up to a specified end time or date.
-
C.
officeReconstitutedIn
Indicates that an official position or office was re-established or newly formed within a specified location or jurisdiction.
-
D.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
E.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25711f6788190a22252ea3a3af394 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563be81c81908ccc5ed44edd6b8e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.