Triple
T8151247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Party presidential primaries, 2024 |
E190337
|
entity |
| Predicate | numberOfUnpledgedDelegates |
P4389
|
FINISHED |
| Object | 739 |
—
|
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: 739 | Statement: [Democratic Party presidential primaries, 2024, numberOfUnpledgedDelegates, 739]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUnpledgedDelegates Context triple: [Democratic Party presidential primaries, 2024, numberOfUnpledgedDelegates, 739]
-
A.
nonVotingDelegatesCount
chosen
Indicates the number of delegates associated with an entity who do not possess voting rights in a given decision-making process.
-
B.
numberOfDelegations
Indicates the total count of delegation instances associated with a given entity or context.
-
C.
numberOfDelegates
Indicates the quantity of delegates associated with or assigned to a particular entity or event.
-
D.
numberOfAtLargeSeats
Indicates the total count of at-large seats (positions not tied to specific districts or subunits) associated with an entity.
-
E.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4483799c81908e73f9a87ed99185 |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.