Triple
T1461155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 United States presidential election |
E31513
|
entity |
| Predicate | republicanPrimaryStartDate |
P29040
|
FINISHED |
| Object | 2015-08-06 |
—
|
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: 2015-08-06 | Statement: [2016 United States presidential election, republicanPrimaryStartDate, 2015-08-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: republicanPrimaryStartDate Context triple: [2016 United States presidential election, republicanPrimaryStartDate, 2015-08-06]
-
A.
republicanNominee
Indicates that the subject is the officially selected Republican Party candidate for the specified office or election.
-
B.
republicanNationalConventionYear
Indicates the year in which a given Republican National Convention took place.
-
C.
vicePresidentialSelectionDate
Indicates the date on which a vice president was formally chosen or selected for their position.
-
D.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
-
E.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59ecb60819082217b034e18381f |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
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 p.m.