Triple
T103702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Pensionary |
E2095
|
entity |
| Predicate | mainFunction |
P88
|
FINISHED |
| Object | directing domestic policy of the Dutch 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: directing domestic policy of the Dutch Republic | Statement: [Grand Pensionary, mainFunction, directing domestic policy of the Dutch Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainFunction Context triple: [Grand Pensionary, mainFunction, directing domestic policy of the Dutch Republic]
-
A.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
-
B.
originalFunction
Indicates that one entity serves as the initial or primary function from which another function or behavior is derived or defined.
-
C.
hasPrimaryFunction
chosen
Indicates that one entity serves as the main or principal function or role of another entity.
-
D.
mainLocation
Indicates that one entity serves as the primary or central location associated with another entity.
-
E.
mainMediator
Indicates that an entity serves as the primary intermediary or facilitator through which interaction, communication, or influence between other entities is conducted.
- 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_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.