Triple
T12548430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chita |
E300031
|
entity |
| Predicate | mergerInto |
P77
|
FINISHED |
| Object | Zabaykalsky Krai |
E66836
|
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: Zabaykalsky Krai | Statement: [Chita, mergerInto, Zabaykalsky Krai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabaykalsky Krai Context triple: [Chita, mergerInto, Zabaykalsky Krai]
-
A.
Zabaykalsky Krai
chosen
Zabaykalsky Krai is a federal subject of Russia located in southeastern Siberia, bordering Mongolia and China and known for its vast, sparsely populated territory and rich mineral resources.
-
B.
Khabarovsk Krai
Khabarovsk Krai is a large federal subject in Russia’s Far East, known for its vast wilderness, diverse landscapes, and significant natural resources.
-
C.
Irkutsk Oblast
Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
-
D.
Altai Krai
Altai Krai is a federal subject of southwestern Siberia in Russia, known for its agricultural production and diverse landscapes ranging from steppe to mountains.
-
E.
Amur Oblast
Amur Oblast is a federal subject of Russia located in the southeastern part of Siberia along the Amur River, bordering China and known for its resource-based economy and strategic position in the Russian Far East.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95481ba28819099f7cd2de02e8837 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a537bb1881908a50073d4f27b66c |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 8, 2026, 9:58 p.m.