Triple
T276927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 United States presidential election |
E5269
|
entity |
| Predicate | electionYear |
P376
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [2020 United States presidential election, electionYear, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionYear Context triple: [2020 United States presidential election, electionYear, 2020]
-
A.
electionNumber
Indicates the specific ordinal or identifying number assigned to a particular election within a series or system of elections.
-
B.
democraticNationalConventionYear
Indicates the year in which a given Democratic National Convention took place.
-
C.
electionCycle
Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
-
D.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
E.
year
chosen
Indicates the specific calendar year associated with an entity, event, or fact.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25ded68c88190b1fc595ce329aeb9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.