Triple
T25964599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Party presidential primaries, 2000 |
E645630
|
entity |
| Predicate | includesCaucuses |
P185931
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Democratic Party presidential primaries, 2000, includesCaucuses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCaucuses Context triple: [Democratic Party presidential primaries, 2000, includesCaucuses, true]
-
A.
caucusesWith
Indicates that an individual or group aligns and regularly meets with a particular political caucus or faction to coordinate strategy and action.
-
B.
isCaucusOf
Indicates that one group functions as a caucus, or organized subgroup, within a larger organization, body, or assembly.
-
C.
includesElectionsIn
Indicates that one entity (such as a document, dataset, or process) encompasses, covers, or contains elections that occur within the scope or domain of another entity.
-
D.
hasCaucusType
Indicates that an entity is associated with a specific type or category of caucus.
-
E.
incumbentCaucusBeforeElection
Indicates that a political incumbent belonged to a specified caucus prior to a particular 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: April 22, 2026, 8:48 a.m.