Triple
T3444903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Imereti |
E72652
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Kutaisi Governorate |
E40621
|
NE 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: Kutaisi Governorate | Statement: [Kingdom of Imereti, successor, Kutaisi Governorate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kutaisi Governorate Context triple: [Kingdom of Imereti, successor, Kutaisi Governorate]
-
A.
Kutais Governorate
chosen
Kutais Governorate was an administrative division of the Russian Empire in the Caucasus region, centered around the city of Kutaisi in what is now western Georgia.
-
B.
Yala
Yala is a language spoken by the Yala people of Cross River State in southeastern Nigeria.
-
C.
Yala
Yala is a major city in Thailand’s deep south, known as an administrative, commercial, and cultural center near the Malaysian border.
-
D.
Shaqra Governorate
Shaqra Governorate is an administrative region and town in central Saudi Arabia known for its historical architecture and location within Riyadh Province.
-
E.
Appia
Appia is a surname most notably associated with Louis Appia, a pioneering Swiss surgeon and co-founder of the International Committee of the Red Cross.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2b93dc819094e9cca1a5d9540a |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360deda448190a63a39688be2dbfb |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.