Triple
T4037860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga Federal District |
E83870
|
entity |
| Predicate | containsFederalSubject |
P22806
|
FINISHED |
| Object | Perm Krai |
E240048
|
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: Perm Krai | Statement: [Volga Federal District, containsFederalSubject, Perm Krai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perm Krai Context triple: [Volga Federal District, containsFederalSubject, Perm Krai]
-
A.
Perm Krai
chosen
Perm Krai is a federal subject of Russia located on the western slopes of the Ural Mountains, serving as a historical and industrial region that bridges European and Asian Russia.
-
B.
Isara
Isara is the Latin name for the Isar River, a major waterway flowing through the Alps and the city of Munich in Germany.
-
C.
Trongsa District
Trongsa District is a central district of Bhutan known for its strategic location, historical significance, and the prominent Trongsa Dzong overlooking the Mangde Chhu valley.
-
D.
Kosal region
The Kosal region is a culturally distinct area in western Odisha, India, known for its unique Sambalpuri language, arts, and traditions.
-
E.
Chonburi Province
Chonburi Province is a coastal region in eastern Thailand known for its major tourist destinations, industrial zones, and proximity to Bangkok.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb3656f08190aa5286d951013646 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564436788190aff89ebfeeed6d9b |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.