Triple

T16387216
Position Surface form Disambiguated ID Type / Status
Subject Vipava River E397953 entity
Predicate hasTributary P415 FINISHED
Object Branica
Branica is a small river in western Slovenia that flows through the Vipava Valley as a tributary of the Vipava River.
 E1217940 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: Branica | Statement: [Vipava River, hasTributary, Branica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Branica
Context triple: [Vipava River, hasTributary, Branica]
  • A. Ojstrica
    Ojstrica is a prominent mountain peak in northern Slovenia, known for its steep limestone walls and scenic views within the Kamnik–Savinja Alps.
  • B. Brodnica
    Brodnica is a historic town in north-central Poland known for its medieval architecture and location on the Drwęca River.
  • C. Vrbanja
    Vrbanja is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
  • D. Krnjak
    Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
  • E. 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.
  • 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: Branica
Triple: [Vipava River, hasTributary, Branica]
Generated description
Branica is a small river in western Slovenia that flows through the Vipava Valley as a tributary of the Vipava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Branica
Target entity description: Branica is a small river in western Slovenia that flows through the Vipava Valley as a tributary of the Vipava River.
  • A. Ojstrica
    Ojstrica is a prominent mountain peak in northern Slovenia, known for its steep limestone walls and scenic views within the Kamnik–Savinja Alps.
  • B. Brodnica
    Brodnica is a historic town in north-central Poland known for its medieval architecture and location on the Drwęca River.
  • C. Vrbanja
    Vrbanja is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
  • D. Krnjak
    Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
  • E. 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.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263e1534819081a6bf5006c611c5 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00606fe9dc8190a336dc17f16f0ab4 completed May 10, 2026, 10:39 a.m.
NEDg Description generation batch_6a00621e3f60819086b6e9f529d3fb46 completed May 10, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0062cf05f0819097405f5fadfe4507 completed May 10, 2026, 10:49 a.m.
Created at: April 10, 2026, 5:08 a.m.