Triple
T2832187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNC Executive Committee |
E62263
|
entity |
| Predicate | levelOfOrganization |
P5180
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [DNC Executive Committee, levelOfOrganization, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfOrganization Context triple: [DNC Executive Committee, levelOfOrganization, national]
-
A.
hasTissueLevelOrganization
Indicates that an entity possesses a structural organization composed of multiple tissues arranged into functional units.
-
B.
governingBodyLevel
chosen
Indicates the hierarchical level or tier at which a governing body operates within a political or organizational structure.
-
C.
hasOrganLevelOrganization
Indicates that an entity possesses a level of biological organization in which distinct organs are present and functionally integrated.
-
D.
cellularOrganization
Indicates how the components within a biological cell are structured, arranged, and functionally organized in relation to one another.
-
E.
classificationLevel
Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.