Triple
T28329167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican Party presidential primaries, 2020 |
E717490
|
entity |
| Predicate | pledgedDelegatesWonBy |
P164278
|
FINISHED |
| Object | Donald Trump |
—
|
NE NERFINISHED |
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: Donald Trump | Statement: [Republican Party presidential primaries, 2020, pledgedDelegatesWonBy, Donald Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pledgedDelegatesWonBy Context triple: [Republican Party presidential primaries, 2020, pledgedDelegatesWonBy, Donald Trump]
-
A.
stateDelegatesWonBy
Indicates the number of delegates a candidate or party has secured from a particular state in an election or nominating contest.
-
B.
delegatesAllocatedBy
Indicates that one entity has assigned or distributed delegates to another entity.
-
C.
electsDelegatesTo
Indicates that one entity selects or votes to choose representatives (delegates) who will act or decide on its behalf in another body or process.
-
D.
numberOfDelegations
Indicates the total count of delegation instances associated with a given entity or context.
-
E.
delegateCountWinner
Indicates that the referenced entity is the candidate or option that has secured the highest number of delegates in a given selection or election process.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f649322d1881909297d1b1c607937d |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 28, 2026, 12:30 a.m.