Triple

T5023782
Position Surface form Disambiguated ID Type / Status
Subject Belo Horizonte E112920 entity
Predicate nickname P55 FINISHED
Object 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.
 E486147 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: BH | Statement: [Belo Horizonte, nickname, BH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BH
Context triple: [Belo Horizonte, nickname, BH]
  • A. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • B. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • C. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • D. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • E. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • 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: BH
Triple: [Belo Horizonte, nickname, BH]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BH
Target entity description: 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.
  • A. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • B. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • C. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • D. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • E. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736852e88190b69d6561ca7604c3 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9286bb28819095ca0ec858061419 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be933f3ed08190a128c1b3c9b3b1c3 completed March 21, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69be940b2eac819099001d403501afac completed March 21, 2026, 12:50 p.m.
Created at: March 20, 2026, 1:36 p.m.