Triple

T18281891
Position Surface form Disambiguated ID Type / Status
Subject Мачва E437882 entity
Predicate containsSettlement P847 FINISHED
Object Глушци
Глушци је насеље у западној Србији, смештено у равничарском подручју Мачве познатом по пољопривреди и близини реке Саве.
 E1316016 NE FINISHED

How this triple was built (4 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: Глушци | Statement: [Мачва, containsSettlement, Глушци]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Глушци
Context triple: [Мачва, containsSettlement, Глушци]
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Vasylkiv
    Vasylkiv is a historic town in central Ukraine, known for its long-standing administrative role and its location near the capital city of Kyiv.
  • C. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • D. Svislach
    Svislach is a small town in western Belarus, near the Polish border, known for its historical ties to the Podlasie region and cross-border cultural connections.
  • E. Terebovlia
    Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Глушци
Triple: [Мачва, containsSettlement, Глушци]
Generated description
Глушци је насеље у западној Србији, смештено у равничарском подручју Мачве познатом по пољопривреди и близини реке Саве.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Глушци
Target entity description: Глушци је насеље у западној Србији, смештено у равничарском подручју Мачве познатом по пољопривреди и близини реке Саве.
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Vasylkiv
    Vasylkiv is a historic town in central Ukraine, known for its long-standing administrative role and its location near the capital city of Kyiv.
  • C. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • D. Svislach
    Svislach is a small town in western Belarus, near the Polish border, known for its historical ties to the Podlasie region and cross-border cultural connections.
  • E. Terebovlia
    Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
  • F. None of above. chosen

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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50056ea0481908d66bf263ac80c75 completed April 19, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b4029cb88190963ae33570455c2d completed May 12, 2026, 11:13 p.m.
NEDg Description generation batch_6a03b501b630819094c77aebf62081a2 completed May 12, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03b5c09f4881909fb0ead5fc48895c completed May 12, 2026, 11:20 p.m.
Created at: April 10, 2026, 10:35 a.m.