Triple
T20250792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senaki |
E498547
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object | Mikha-Tskhali |
—
|
NE NERFINISHED |
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: Mikha-Tskhali | Statement: [Senaki, hasHistoricalName, Mikha-Tskhali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikha-Tskhali Context triple: [Senaki, hasHistoricalName, Mikha-Tskhali]
-
A.
Mikha-Tskhali
chosen
Mikha-Tskhali is the historical name of the Georgian town now known as Senaki, located in the Samegrelo-Zemo Svaneti region of western Georgia.
-
B.
Tabidze
Tabidze is a Georgian surname most notably associated with the prominent 20th-century poet Titsian Tabidze.
-
C.
Hind Rostom
Hind Rostom was a celebrated Egyptian film actress, often dubbed the "Marilyn Monroe of the Arab world," known for her iconic roles in classic Egyptian cinema of the 1950s and 1960s.
-
D.
Tskhumi
Tskhumi is the historical name of the city now known as Sukhumi, a major Black Sea port and the capital of the disputed region of Abkhazia.
-
E.
Avtandil
Avtandil is the noble and valiant Georgian knight who serves as the central hero of Shota Rustaveli’s medieval epic poem "The Knight in the Panther’s Skin."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a79a208190a5a7c0f6515bc393 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.