Triple

T5515865
Position Surface form Disambiguated ID Type / Status
Subject Gao E144681 entity
Predicate KöppenClimateClassification P193 FINISHED
Object BWh
BWh is the Köppen climate classification code for hot desert climates characterized by extremely low rainfall and high temperatures.
E530754 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: BWh | Statement: [Gao, KöppenClimateClassification, BWh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BWh
Context triple: [Gao, KöppenClimateClassification, BWh]
  • A. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • B. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • E. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • 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: BWh
Triple: [Gao, KöppenClimateClassification, BWh]
Generated description
BWh is the Köppen climate classification code for hot desert climates characterized by extremely low rainfall and high temperatures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BWh
Target entity description: BWh is the Köppen climate classification code for hot desert climates characterized by extremely low rainfall and high temperatures.
  • A. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • B. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • E. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5d1d188190b3a222a9ecf2a0e6 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d92e0c8190ad5552d66e370a22 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c0376eea3c8190af11dbb0030cc57d completed March 22, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69c0384d023081909cb0d4ba4b80c07e completed March 22, 2026, 6:43 p.m.
Created at: March 22, 2026, 3:33 p.m.