Triple
T1824250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kareli |
E40613
|
entity |
| Predicate | hasRegionalCenter |
P1474
|
FINISHED |
| Object | Gori |
E1743
|
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: Gori | Statement: [Kareli, hasRegionalCenter, Gori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gori Context triple: [Kareli, hasRegionalCenter, Gori]
-
A.
Gori
chosen
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
B.
Ḍogrī
Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
-
C.
Tyrnyauz
Tyrnyauz is a mountainous town in southwestern Russia known for its former tungsten-molybdenum mining industry and location in the North Caucasus.
-
D.
Ejersa Goro
Ejersa Goro is a town in eastern Ethiopia notable as the birthplace of Emperor Haile Selassie I.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662e0308819081c75ebbdfbf491e |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1bf7b3c81909fd2d548be2baa8f |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:32 p.m.