Triple
T18180355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 United States Senate election in Pennsylvania |
E435263
|
entity |
| Predicate | incumbentStatus |
P125419
|
FINISHED |
| Object | retired |
—
|
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: retired | Statement: [2022 United States Senate election in Pennsylvania, incumbentStatus, retired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentStatus Context triple: [2022 United States Senate election in Pennsylvania, incumbentStatus, retired]
-
A.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
B.
incumbentOutcome
chosen
Indicates the result or consequence experienced by the current officeholder or position-holder in a given event or context.
-
C.
incumbentOffice
Indicates that a person currently holds and serves in a specified office or position.
-
D.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
E.
incumbentAfterElection
Indicates that an entity holds a position or office as the sitting incumbent following a specified 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffa75a081908dad0dcbd736172d |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.