Triple

T25894368
Position Surface form Disambiguated ID Type / Status
Subject Škurda River E652425 entity
Predicate hasNameInCyrillicScript P34124 FINISHED
Object Шкурда
Шкурда is a river known locally in Montenegro, flowing through the town of Kotor and contributing to its historic and scenic landscape.
 E1699411 NE FINISHED

How this triple was built (3 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: Шкурда | Statement: [Škurda River, hasNameInCyrillicScript, Шкурда]
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: Шкурда
Triple: [Škurda River, hasNameInCyrillicScript, Шкурда]
Generated description
Шкурда is a river known locally in Montenegro, flowing through the town of Kotor and contributing to its historic and scenic landscape.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNameInCyrillicScript
Context triple: [Škurda River, hasNameInCyrillicScript, Шкурда]
  • A. hasCyrillicAlphabetForm chosen
    Indicates that an entity has a corresponding representation or form written in the Cyrillic alphabet.
  • B. hasNameInTeluguScript
    Indicates that an entity is associated with a name written in the Telugu script.
  • C. hasUnicodeName
    Indicates that an entity is associated with a specific official Unicode name assigned to a character or symbol.
  • D. hasUnicodeScript
    Indicates that a character or text element belongs to a specific Unicode script category (such as Latin, Cyrillic, or Han).
  • E. hasNameInSlavonic
    Indicates that an entity has a specific name or designation expressed in a Slavonic language.
  • F. None of above.

Provenance (6 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_69e7ab3c6cc081908de59bfcc28ec19d completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f67f0488bc819089fbd2d2478158d3 completed May 2, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecc0ace4819093937aa83ffc1913 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10ed2166748190bdc01176cb5f675c completed May 22, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_6a10edb1ca0c81909f567f40e6601be6 completed May 22, 2026, 11:58 p.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
Created at: April 22, 2026, 8:22 a.m.