Triple

T38408444
Position Surface form Disambiguated ID Type / Status
Subject Priuralsky District (de facto) E901403 entity
Predicate borderedBy P224 FINISHED
Object Shuryshkarsky District
Shuryshkarsky District is an administrative district in the Yamalo-Nenets Autonomous Okrug of Russia, known for its sparsely populated Arctic territories and indigenous Nenets communities.
E2292191 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: Shuryshkarsky District | Statement: [Priuralsky District (de facto), borderedBy, Shuryshkarsky District]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shuryshkarsky District
Triple: [Priuralsky District (de facto), borderedBy, Shuryshkarsky District]
Generated description
Shuryshkarsky District is an administrative district in the Yamalo-Nenets Autonomous Okrug of Russia, known for its sparsely populated Arctic territories and indigenous Nenets communities.

Provenance (5 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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd6095888190b342b48ab5da3dd4 completed May 7, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5ccfda00488190ba796355fcc6b1a7 completed July 19, 2026, 1:23 p.m.
NEDg Description generation batch_6a5cd07579c08190985f6de5783c036e completed July 19, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_6a5cd0e011788190ab149630af33eeaf completed July 19, 2026, 1:28 p.m.
Created at: May 3, 2026, 4:31 p.m.