Triple
T38157402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ სააკაშვილი |
E952922
|
entity |
| Predicate | ოდესის გუბერნატორის თანამდებობიდან გადადგა |
P190262
|
FINISHED |
| Object | 2016-11-07 |
—
|
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: 2016-11-07 | Statement: [მიხეილ სააკაშვილი, ოდესის გუბერნატორის თანამდებობიდან გადადგა, 2016-11-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ოდესის გუბერნატორის თანამდებობიდან გადადგა Context triple: [მიხეილ სააკაშვილი, ოდესის გუბერნატორის თანამდებობიდან გადადგა, 2016-11-07]
-
A.
შეიცვალა თანამდებობაზე
Indicates that an entity has changed or been moved to a different position, office, or role.
-
B.
officeHolderBecame
Indicates that an individual assumed or transitioned into holding a particular office or official position.
-
C.
governorFrom
Indicates that a person holds or has held the office of governor of a specified political region or jurisdiction.
-
D.
succeededInOfficeAsGovernorOfGeorgiaBy
Indicates that one person was followed in the position of Governor of Georgia by another specific person.
-
E.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
- F. None of above. chosen
Provenance (4 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:21 p.m.