Triple
T357993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 United States presidential election |
E7585
|
entity |
| Predicate | notableDebateFormat |
P8604
|
FINISHED |
| Object | three presidential debates between Bush and Gore |
—
|
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: three presidential debates between Bush and Gore | Statement: [2000 United States presidential election, notableDebateFormat, three presidential debates between Bush and Gore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDebateFormat Context triple: [2000 United States presidential election, notableDebateFormat, three presidential debates between Bush and Gore]
-
A.
hasDebate
chosen
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
B.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
C.
competitionFormat
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
D.
debatedAt
Indicates that a debate or formal discussion involving the subject took place at the specified location or event.
-
E.
wasContestedIn
Indicates that an event, position, or decision was the subject of competition, dispute, or challenge within a particular context or proceeding.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebb0e348819086e3ccd96c7b129e |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e959ce948190a201c017eecb7c95 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.