Triple

T25419957
Position Surface form Disambiguated ID Type / Status
Subject Belarus national football team E636952 entity
Predicate hasNotablePlayer P9730 FINISHED
Object Maksim Romashchenko
Maksim Romashchenko is a former Belarusian professional footballer and midfielder known for being one of Belarus's most capped and influential national team players.
E2292787 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: Maksim Romashchenko | Statement: [Belarus national football team, hasNotablePlayer, Maksim Romashchenko]
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: Maksim Romashchenko
Triple: [Belarus national football team, hasNotablePlayer, Maksim Romashchenko]
Generated description
Maksim Romashchenko is a former Belarusian professional footballer and midfielder known for being one of Belarus's most capped and influential national team players.

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_69e75db4135881909acc287ebcb7a505 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6bbb1048190bf951255445aeecc completed May 2, 2026, 1:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a24250ee881908160833b4646543b completed Aug. 10, 2026, 7:19 p.m.
NEDg Description generation batch_6a7a2895c6108190afe131a0387d8ab3 completed Aug. 10, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_6a7a2acc6cf48190b7393b777da8aee6 completed Aug. 10, 2026, 7:47 p.m.
Created at: April 21, 2026, 1:56 p.m.