Triple
T372916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate Minority Leader |
E8307
|
entity |
| Predicate | basisOfOffice |
P11779
|
FINISHED |
| Object | created and governed by Senate rules and party conference rules |
—
|
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: created and governed by Senate rules and party conference rules | Statement: [Senate Minority Leader, basisOfOffice, created and governed by Senate rules and party conference rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basisOfOffice Context triple: [Senate Minority Leader, basisOfOffice, created and governed by Senate rules and party conference rules]
-
A.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
-
B.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
C.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
-
D.
otherOffice
Indicates that one office is an alternative or additional office associated with the same organization, person, or entity as another office.
-
E.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
- F. None of above. chosen
Provenance (4 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec018d508190b5687a9ba90b3092 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e960d880819084b3df4e5137a1e2 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0b23ec8190bef9d593162388a4 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.