Triple

T33344499
Position Surface form Disambiguated ID Type / Status
Subject Republic of Zubrowka E853758 entity
Predicate hasFictionalMountainRange P198554 FINISHED
Object Zubrowkan Alps
The Zubrowkan Alps are a fictional mountain range forming part of the imagined landscape of the Republic of Zubrowka in Wes Anderson’s film universe.
 E2056525 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: Zubrowkan Alps | Statement: [Republic of Zubrowka, hasFictionalMountainRange, Zubrowkan Alps]
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: Zubrowkan Alps
Triple: [Republic of Zubrowka, hasFictionalMountainRange, Zubrowkan Alps]
Generated description
The Zubrowkan Alps are a fictional mountain range forming part of the imagined landscape of the Republic of Zubrowka in Wes Anderson’s film universe.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFictionalMountainRange
Context triple: [Republic of Zubrowka, hasFictionalMountainRange, Zubrowkan Alps]
  • A. hasFictionalMountain chosen
    Indicates that one entity includes, features, or is associated with a fictional mountain as part of its content, setting, or description.
  • B. hasMountainRange
    Indicates that one entity possesses, contains, or is geographically associated with a specific mountain range.
  • C. mountainRange
    Indicates that one entity is a mountain range that the other entity is part of, associated with, or located in.
  • D. sourceMountainRange
    Indicates that a river, stream, or similar feature originates from or has its source in a specified mountain range.
  • E. mountainRangeType
    Indicates the classification or category of a mountain range based on its geological or geographical type.
  • 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_69f3496a1a588190bad9cbe9221144e0 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff17be6ad48190963206f2619b1b28 completed May 9, 2026, 11:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35a65a7de08190be65b265e2857e98 completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a8e909688190a635ec001bdce134 completed June 19, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_6a35a96a0d3081908e67533333bcd739 completed June 19, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69ff1724ba24819092c928fcbcb286ec completed May 9, 2026, 11:14 a.m.
Created at: May 1, 2026, 1:34 a.m.