Triple
T16727611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 State of the Union Address |
E406501
|
entity |
| Predicate | reElectionYearAddress |
P9572
|
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: [1984 State of the Union Address, reElectionYearAddress, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reElectionYearAddress Context triple: [1984 State of the Union Address, reElectionYearAddress, true]
-
A.
reElectionYear
chosen
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
B.
targetedOfficeElectionYear
Indicates the year in which the election is held for the office that is the target of the relationship.
-
C.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
-
D.
previousElectionYear
Indicates the year in which the immediately preceding election for the same office, position, or body took place.
-
E.
appliesToElectionYear
Indicates that something is relevant, valid, or in effect specifically for a given election year.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38748f538819097de1fdee9b42f34 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.