Triple

T9500027
Position Surface form Disambiguated ID Type / Status
Subject Bolsa Mexicana de Valores E229111 entity
Predicate shortName P43 FINISHED
Object BMV
BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
 E802981 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: BMV | Statement: [Bolsa Mexicana de Valores, shortName, BMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMV
Context triple: [Bolsa Mexicana de Valores, shortName, BMV]
  • A. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • B. BMVI
    BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
  • C. BMJV
    BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
  • D. BMUV
    BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
  • E. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • 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: BMV
Triple: [Bolsa Mexicana de Valores, shortName, BMV]
Generated description
BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMV
Target entity description: BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • A. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • B. BMVI
    BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
  • C. BMJV
    BMJV was the former abbreviation for Germany’s Federal Ministry of Justice, used before its name change and rebranding.
  • D. BMUV
    BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
  • E. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983c308c8190bde6858ac1ca8ea5 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d412a008190adc82e1e3d56d107 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d1313e3bac819097169f2f34cb19b4 completed April 4, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_69d131a254b08190a071e838c3e56513 completed April 4, 2026, 3:43 p.m.
Created at: March 30, 2026, 7:56 p.m.