Triple

T30918873
Position Surface form Disambiguated ID Type / Status
Subject Arab–Khazar wars E787661 entity
Predicate location P40 FINISHED
Object Volga–Don steppe
The Volga–Don steppe is a vast grassland region in southern European Russia between the Volga and Don rivers, historically significant as a strategic corridor for nomadic peoples and medieval powers.
 E1941199 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: Volga–Don steppe | Statement: [Arab–Khazar wars, location, Volga–Don steppe]
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: Volga–Don steppe
Triple: [Arab–Khazar wars, location, Volga–Don steppe]
Generated description
The Volga–Don steppe is a vast grassland region in southern European Russia between the Volga and Don rivers, historically significant as a strategic corridor for nomadic peoples and medieval powers.

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_69f224bfaca88190b9d0dfcc86297fe9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692b3c17881908e10d82b78be94a8 completed May 3, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fba4d3e48190a2c2729b968d8e9a completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28fe9398a0819096ac9a2e922e32e6 completed June 10, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a28ff0ab2c08190a3d487dd49f6f244 completed June 10, 2026, 6:07 a.m.
Created at: April 29, 2026, 8:51 p.m.