Triple

T25585434
Position Surface form Disambiguated ID Type / Status
Subject Tkalčićeva Street E641366 entity
Predicate followsFormerWatercourse P3624 FINISHED
Object Medveščak stream
Medveščak stream is a former watercourse in Zagreb, Croatia, that historically flowed through the city and influenced the development of several central streets and neighborhoods.
 E1687078 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: Medveščak stream | Statement: [Tkalčićeva Street, followsFormerWatercourse, Medveščak stream]
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: Medveščak stream
Triple: [Tkalčićeva Street, followsFormerWatercourse, Medveščak stream]
Generated description
Medveščak stream is a former watercourse in Zagreb, Croatia, that historically flowed through the city and influenced the development of several central streets and neighborhoods.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: followsFormerWatercourse
Context triple: [Tkalčićeva Street, followsFormerWatercourse, Medveščak stream]
  • A. followsWatercourse chosen
    Indicates that one entity runs alongside or traces the path of a watercourse such as a river, stream, or canal.
  • B. isWatercourseOf
    Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
  • C. isMajorWatercourseOf
    Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
  • D. watercourseBelow
    Indicates that one watercourse lies downstream or at a lower elevation relative to another watercourse.
  • E. hasWatercourseType
    Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
  • 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_69e75dc42b588190a98b58e0df359674 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b765371c81908c709769db3af62f completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b84949448190ba06c85d0f19215b completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 21, 2026, 4:15 p.m.