Triple

T6897683
Position Surface form Disambiguated ID Type / Status
Subject Barajevo E159411 entity
Predicate hasSettlement P1068 FINISHED
Object Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
 E630412 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: Kremenica | Statement: [Barajevo, hasSettlement, Kremenica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kremenica
Context triple: [Barajevo, hasSettlement, Kremenica]
  • A. Konjšica
    Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
  • B. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • C. Kamenica nad Cirochou
    Kamenica nad Cirochou is a village and municipality in eastern Slovakia, known for its rural character and local cultural traditions.
  • D. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • E. Lepenica
    Lepenica is a river in central Serbia that flows through the city of Kragujevac before joining the Velika Morava.
  • 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: Kremenica
Triple: [Barajevo, hasSettlement, Kremenica]
Generated description
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kremenica
Target entity description: Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
  • A. Konjšica
    Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
  • B. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • C. Kamenica nad Cirochou
    Kamenica nad Cirochou is a village and municipality in eastern Slovakia, known for its rural character and local cultural traditions.
  • D. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • E. Lepenica
    Lepenica is a river in central Serbia that flows through the city of Kragujevac before joining the Velika Morava.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95c44a48190876d62749411bbb6 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7584729ac8190b46e9f82461c6365 completed March 28, 2026, 4:25 a.m.
NEDg Description generation batch_69c7593765f481909d5d0fa51a880435 completed March 28, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c759b807c481908d92957b110ae658 completed March 28, 2026, 4:31 a.m.
Created at: March 27, 2026, 2:24 p.m.