Triple
T38081969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nino Burjanadze |
E950875
|
entity |
| Predicate | numberOfTimesServedAsActingPresident |
P49077
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Nino Burjanadze, numberOfTimesServedAsActingPresident, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesServedAsActingPresident Context triple: [Nino Burjanadze, numberOfTimesServedAsActingPresident, 2]
-
A.
numberOfTimesInOffice
chosen
Indicates the count of separate terms or periods an entity has held a particular office or position.
-
B.
numberOfWhiteHouseAdministrationsPerformedFor
Indicates the number of distinct White House administrations during which an entity performed services or activities for another entity.
-
C.
servedAsVicePresidentFrom
Indicates that one entity held the position of vice president for another entity during a specified time period.
-
D.
leftOfficeAsActingPresident
Indicates that an individual ceased serving in the role of acting president, ending their temporary tenure in that office.
-
E.
presidentDuringVicePresidency
Indicates that one person served as president during the period when another person was serving as vice president.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.