Triple
T482427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House Minority Leader |
E9198
|
entity |
| Predicate | residesInSystem |
P40
|
FINISHED |
| Object | two-party political system of the United States |
—
|
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: two-party political system of the United States | Statement: [House Minority Leader, residesInSystem, two-party political system of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residesInSystem Context triple: [House Minority Leader, residesInSystem, two-party political system of the United States]
-
A.
usedBySystem
Indicates that something is utilized or operated by a particular system.
-
B.
establishedSystem
Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
-
C.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
D.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
E.
locatedUnder
Indicates that one entity is positioned directly or generally beneath another entity in space.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f05a7f6c819082b4a5a3e69468a6 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf321288190b5d560f75782c2cb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.