Triple
T5226390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Republican Party (United States) |
E117998
|
entity |
| Predicate | positionOnCivilService |
P62141
|
FINISHED |
| Object | supported merit-based appointments |
—
|
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: supported merit-based appointments | Statement: [Liberal Republican Party (United States), positionOnCivilService, supported merit-based appointments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnCivilService Context triple: [Liberal Republican Party (United States), positionOnCivilService, supported merit-based appointments]
-
A.
positionOnGovernmentRole
Indicates that an entity holds or is assigned to a specific role or office within a government structure.
-
B.
positionOnGovernment
Indicates an entity’s stance, role, or status within a governmental structure or political office.
-
C.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
-
D.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
E.
U.S.GovernmentPosition
Indicates that an entity holds, held, or is associated with an official position or office within the United States government.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adc9be081909903b9f844c3d146 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78a89b608190b259d3d8658f8f7c |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:48 p.m.