Triple

T33485615
Position Surface form Disambiguated ID Type / Status
Subject North Kazakhstan Region E857602 entity
Predicate hasDistrict P459 FINISHED
Object Ualikhanov District
Ualikhanov District is an administrative district in northern Kazakhstan, located within the North Kazakhstan Region and named after the Kazakh scholar and explorer Chokan Valikhanov.
E2288918 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: Ualikhanov District | Statement: [North Kazakhstan Region, hasDistrict, Ualikhanov 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: Ualikhanov District
Triple: [North Kazakhstan Region, hasDistrict, Ualikhanov District]
Generated description
Ualikhanov District is an administrative district in northern Kazakhstan, located within the North Kazakhstan Region and named after the Kazakh scholar and explorer Chokan Valikhanov.

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_69f3497547608190a1a0f2365fb713ee completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e532c58c81908ea0192bfce6893e completed May 3, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5aeb3de150819092f69d6e38ab35c6 completed July 18, 2026, 2:55 a.m.
NEDg Description generation batch_6a5aec0c5e1c81908837552d7332bcf9 completed July 18, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_6a5aec63e92481909e371c46c4c19809 completed July 18, 2026, 3 a.m.
Created at: May 1, 2026, 1:38 a.m.