Triple
T30558265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Central Legislative Assembly |
E777761
|
entity |
| Predicate | officeHolderDuties |
P131090
|
FINISHED |
| Object | preside over debates |
—
|
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: preside over debates | Statement: [President of the Central Legislative Assembly, officeHolderDuties, preside over debates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderDuties Context triple: [President of the Central Legislative Assembly, officeHolderDuties, preside over debates]
-
A.
officeHoldersHaveDuty
chosen
Indicates that individuals holding an office or position are obligated to perform certain duties or responsibilities associated with that role.
-
B.
officeHolderFunction
Indicates that an entity holds or performs a specific official role, duty, or function within an office or position.
-
C.
goalOfDuties
Indicates that something is the intended objective or purpose that a set of duties or responsibilities is meant to achieve.
-
D.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
-
E.
officeHoldersHaveRole
Indicates that individuals or entities holding an office possess or are assigned a specific role associated with that office.
- 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: April 29, 2026, 8:21 p.m.