Triple

T31055900
Position Surface form Disambiguated ID Type / Status
Subject Kastrychnitskaya E791395 entity
Predicate locatedNear P294 FINISHED
Object Palace of the Republic, Minsk
The Palace of the Republic in Minsk is a major Soviet-era cultural and governmental venue on October Square, used for state ceremonies, concerts, and large public events in Belarus.
E1949925 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: Palace of the Republic, Minsk | Statement: [Kastrychnitskaya, locatedNear, Palace of the Republic, Minsk]
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: Palace of the Republic, Minsk
Triple: [Kastrychnitskaya, locatedNear, Palace of the Republic, Minsk]
Generated description
The Palace of the Republic in Minsk is a major Soviet-era cultural and governmental venue on October Square, used for state ceremonies, concerts, and large public events in Belarus.

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_69f224cb08908190ba71ad9aa87518ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695441b3c8190943f67a89e070329 completed May 3, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29470f821c8190a9445447b8eb2e14 completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a29482e8bc48190a1d257c7286b1ab1 completed June 10, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a294eee82d48190a23f96b28727b881 completed June 10, 2026, 11:47 a.m.
Created at: April 29, 2026, 9 p.m.