Triple

T38456806
Position Surface form Disambiguated ID Type / Status
Subject Azov Upland E912340 entity
Predicate partOf P40 FINISHED
Object East European Plain
The East European Plain is one of the world’s largest lowland regions, stretching across much of Eastern Europe and western Russia and characterized by extensive flat terrain and broad river basins.
 E163882 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: East European Plain | Statement: [Azov Upland, partOf, East European Plain]
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: East European Plain
Triple: [Azov Upland, partOf, East European Plain]
Generated description
The East European Plain is one of the world’s largest lowland regions, stretching across much of Eastern Europe and western Russia and characterized by extensive flat terrain and broad river basins.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcce0301688190887a84e337a30ba8 completed May 7, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccaecc948190962f66941740602a completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41ce5b4f0c8190bcfc3e29c6f0934f completed June 29, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a41cedbcb84819097e19d33da9ba767 completed June 29, 2026, 1:48 a.m.
Created at: May 3, 2026, 4:31 p.m.