Triple
T31256852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martti Miettunen |
E796996
|
entity |
| Predicate | governorshipEnd |
P24865
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Martti Miettunen, governorshipEnd, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorshipEnd Context triple: [Martti Miettunen, governorshipEnd, 1973]
-
A.
servedAsGovernorUntil
chosen
Indicates that an entity held the position of governor up to a specified end date or time.
-
B.
officeEndForSecondTermAsGovernor
Indicates the date or point in time when an individual’s second term serving as governor comes to an end.
-
C.
governorResidenceUntil
Indicates that a specified location served as the official residence of a governor up to a particular time or date.
-
D.
governorshipOutcome
Indicates the result or status of a gubernatorial contest or tenure, such as whether a candidate or officeholder won, lost, or otherwise concluded their governorship.
-
E.
termEndAsGovernorOfPennsylvania
Indicates that an entity’s tenure in the office of Governor of Pennsylvania has concluded.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 29, 2026, 9:12 p.m.