Triple

T18281784
Position Surface form Disambiguated ID Type / Status
Subject Cer Mountain E437880 entity
Predicate SerbianName P50297 FINISHED
Object Цер
Цер је планински масив у западној Србији познат по историјској Церској бици из Првог светског рата и живописним шумовитим пределима.
 E1316010 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: Цер | Statement: [Cer Mountain, SerbianName, Цер]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Цер
Context triple: [Cer Mountain, SerbianName, Цер]
  • A. Célé
    The Célé is a river in southwestern France known for flowing through scenic limestone valleys and picturesque villages before joining the Lot River.
  • B. Cherni Iskar
    Cherni Iskar is a mountain river in Bulgaria that forms one of the principal headwaters of the Iskar River in the Rila Mountains.
  • C. Cea
    Cea is an alternative name or variant spelling of Ceos, an island in the Cyclades of Greece known from ancient Greek history and mythology.
  • D. Severin
    Severin is a locality within the municipality of Persenbeug-Gottsdorf in Lower Austria.
  • E. Severin
    Severin is a fictional character in John Irving’s novel "The 158-Pound Marriage," involved in the complex, emotionally fraught partner-swapping relationships at the center of the story.
  • 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: Цер
Triple: [Cer Mountain, SerbianName, Цер]
Generated description
Цер је планински масив у западној Србији познат по историјској Церској бици из Првог светског рата и живописним шумовитим пределима.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Цер
Target entity description: Цер је планински масив у западној Србији познат по историјској Церској бици из Првог светског рата и живописним шумовитим пределима.
  • A. Célé
    The Célé is a river in southwestern France known for flowing through scenic limestone valleys and picturesque villages before joining the Lot River.
  • B. Cherni Iskar
    Cherni Iskar is a mountain river in Bulgaria that forms one of the principal headwaters of the Iskar River in the Rila Mountains.
  • C. Cea
    Cea is an alternative name or variant spelling of Ceos, an island in the Cyclades of Greece known from ancient Greek history and mythology.
  • D. Severin
    Severin is a locality within the municipality of Persenbeug-Gottsdorf in Lower Austria.
  • E. Severin
    Severin is a fictional character in John Irving’s novel "The 158-Pound Marriage," involved in the complex, emotionally fraught partner-swapping relationships at the center of the story.
  • 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.