Triple
T17700954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osh Region |
E441296
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Osh |
—
|
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: Osh | Statement: [Osh Region, administrativeCenter, Osh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osh Context triple: [Osh Region, administrativeCenter, Osh]
-
A.
Osh
chosen
Osh is a major city in southern Kyrgyzstan, historically significant as a Silk Road trading center in the fertile Ferghana Valley.
-
B.
Oza
"Oza" is a prominent poetic work by Russian poet Andrei Voznesensky, reflecting his innovative style and experimental approach to verse.
-
C.
Ose
Ose is a small village in Bygland municipality in Agder county, southern Norway, known for its scenic location in the Setesdal valley.
-
D.
Tashir
Tashir is a small town located in Armenia’s northern Lori Province.
-
E.
Osan
Osan is a city in Gyeonggi Province, South Korea, known for its proximity to Osan Air Base and its role as a regional transportation and commercial hub.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715ae1fc81908438a1bba970c6ec |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.