Triple
T6474869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geokchay Uyezd |
E146046
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Geokchay |
E596041
|
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: Geokchay | Statement: [Geokchay Uyezd, administrativeCenter, Geokchay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geokchay Context triple: [Geokchay Uyezd, administrativeCenter, Geokchay]
-
A.
Geokchay
chosen
Geokchay is a town in present-day Azerbaijan that historically served as an administrative center in the Russian Empire’s Caucasus region.
-
B.
Kapchagay
Kapchagay is a town in southeastern Kazakhstan known for its large reservoir on the Ili River and its role as a regional recreation and tourism center.
-
C.
Chelkash
"Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
-
D.
Tyungur
Tyungur is a small rural village in Russia’s Altai Republic that serves as a common gateway and base for expeditions to the nearby Belukha Mountain.
-
E.
Kochkor-Ata
Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fd1db288190b00ba6d7f3aae925 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:50 p.m.