Triple
T38157401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ სააკაშვილი |
E952922
|
entity |
| Predicate | ოდესის გუბერნატორად დანიშვნის თარიღი |
P16360
|
FINISHED |
| Object | 2015-05-30 |
—
|
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: 2015-05-30 | Statement: [მიხეილ სააკაშვილი, ოდესის გუბერნატორად დანიშვნის თარიღი, 2015-05-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ოდესის გუბერნატორად დანიშვნის თარიღი Context triple: [მიხეილ სააკაშვილი, ოდესის გუბერნატორად დანიშვნის თარიღი, 2015-05-30]
-
A.
currentGovernorStartDate
chosen
Indicates the date on which the entity’s current governorship officially began.
-
B.
governorateEstablished
Indicates that a particular governorate (administrative region) was formally created or brought into official existence at a certain time or by a specific act.
-
C.
governorAdvisedBy
Indicates that a governor receives advice, guidance, or counsel from a specified person or entity.
-
D.
laterGovernor
Indicates that one entity subsequently became the governor of a place or jurisdiction associated with another entity.
-
E.
succeededInOfficeAsGovernorOfGeorgiaBy
Indicates that one person was followed in the position of Governor of Georgia by another specific person.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.