Triple
T2052433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter B. Chiafalo |
E45598
|
entity |
| Predicate | electoralCollegeRole |
P21456
|
FINISHED |
| Object | member of the United States Electoral College |
—
|
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: member of the United States Electoral College | Statement: [Peter B. Chiafalo, electoralCollegeRole, member of the United States Electoral College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralCollegeRole Context triple: [Peter B. Chiafalo, electoralCollegeRole, member of the United States Electoral College]
-
A.
electoralRole
chosen
Indicates the specific function, position, or capacity an entity holds within an electoral process or system.
-
B.
electoralCollegeIncludes
Indicates that a particular electoral college contains or counts a specified member, vote, or component as part of its composition.
-
C.
electoralCollegeStage
Indicates the specific phase or step within the electoral college process at which an event, action, or status occurs.
-
D.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
E.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99078d88190bc30fa4596f0bae8 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.