Triple
T2581816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga region |
E57107
|
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 region, containsFederalSubject, Perm Krai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perm Krai Context triple: [Volga region, 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.
Chonburi Province
Chonburi Province is a coastal region in eastern Thailand known for its major tourist destinations, industrial zones, and proximity to Bangkok.
-
C.
Kuala Krai
Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
-
D.
Tasiwit
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
-
E.
Lopburi
Lopburi is an ancient city in central Thailand known for its historical Mon and Khmer heritage, temple ruins, and large population of free-roaming macaque monkeys.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657cc2b08190a9055d6da7744851 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.