Triple
T11819532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Russian presidential election |
E281086
|
entity |
| Predicate | incumbentBeforeOfficeStatus |
P6364
|
FINISHED |
| Object | acting President of Russia |
—
|
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: acting President of Russia | Statement: [2000 Russian presidential election, incumbentBeforeOfficeStatus, acting President of Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentBeforeOfficeStatus Context triple: [2000 Russian presidential election, incumbentBeforeOfficeStatus, acting President of Russia]
-
A.
incumbentBeforeElection
chosen
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
B.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
C.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
D.
incumbentAfterElection
Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
-
E.
precededByOfficeHolder
Indicates that one office holder directly held a position before another office holder in a sequence of occupants of the same office.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e87e488190905bc3bb6d721e56 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.