Triple
T4061334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice President |
E86216
|
entity |
| Predicate | mayHaveAdditionalRole |
P6239
|
FINISHED |
| Object | presiding officer of upper house of legislature |
—
|
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: presiding officer of upper house of legislature | Statement: [Vice President, mayHaveAdditionalRole, presiding officer of upper house of legislature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHaveAdditionalRole Context triple: [Vice President, mayHaveAdditionalRole, presiding officer of upper house of legislature]
-
A.
mayHavePriorRole
Indicates that an entity is allowed or expected to have held a specified role at some earlier time.
-
B.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
C.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
D.
hasAuxiliaryRole
chosen
Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
-
E.
hasNotableRoleIn
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.