Triple
T1482681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Democratic caucuses 2004 |
E30993
|
entity |
| Predicate | electoralCollegeStage |
P29123
|
FINISHED |
| Object | primary season |
—
|
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: primary season | Statement: [Iowa Democratic caucuses 2004, electoralCollegeStage, primary season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralCollegeStage Context triple: [Iowa Democratic caucuses 2004, electoralCollegeStage, primary season]
-
A.
electoralCollegeIncludes
Indicates that a particular electoral college contains or counts a specified member, vote, or component as part of its composition.
-
B.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
C.
electoralVotesReceived
Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
-
D.
electoralCollegeVoteDate
Indicates the date on which Electoral College votes are formally cast for a given election.
-
E.
electoralVotesNeededToWin
Indicates the minimum number of electoral votes a candidate must obtain in an election to be declared the winner.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6782f088190930d25a56161e2b3 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:11 p.m.