Triple

T23346787
Position Surface form Disambiguated ID Type / Status
Subject CBMM E591887 entity
Predicate abbreviation P43 FINISHED
Object CBMM
CBMM is a Brazilian company recognized as the world’s leading producer and supplier of niobium products used in high-strength steels and advanced technologies.
 E1581989 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: CBMM | Statement: [CBMM, abbreviation, CBMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CBMM
Context triple: [CBMM, abbreviation, CBMM]
  • A. CBMM
    CBMM is a museum in St. Michaels, Maryland dedicated to preserving and interpreting the maritime history, culture, and environment of the Chesapeake Bay.
  • B. BMM
    BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
  • C. CBM
    CBM is the IATA airport code for Columbus Air Force Base, a United States Air Force installation near Columbus, Mississippi.
  • D. CBM
    CBM is the standard docking interface used on the International Space Station to connect U.S. and partner pressurized modules.
  • E. CBM
    CBM is the Central Bank of Malta, the institution responsible for monetary policy, financial stability, and related central banking functions in Malta.
  • 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: CBMM
Triple: [CBMM, abbreviation, CBMM]
Generated description
CBMM is a Brazilian company recognized as the world’s leading producer and supplier of niobium products used in high-strength steels and advanced technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CBMM
Target entity description: CBMM is a Brazilian company recognized as the world’s leading producer and supplier of niobium products used in high-strength steels and advanced technologies.
  • A. CBMM
    CBMM is a museum in St. Michaels, Maryland dedicated to preserving and interpreting the maritime history, culture, and environment of the Chesapeake Bay.
  • B. BMM
    BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
  • C. CBM
    CBM is the standard docking interface used on the International Space Station to connect U.S. and partner pressurized modules.
  • D. CBM
    CBM is the Central Bank of Myanmar, the country's primary monetary authority responsible for issuing currency and overseeing financial and banking stability.
  • E. CBM
    CBM is the IATA airport code for Columbus Air Force Base, a United States Air Force installation near Columbus, Mississippi.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19837874481908f1a530261a34819 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4cba927481908194b998075d522d completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c52f9ecc48190a8d5ae67566ea6ed completed May 19, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_6a0c536bb21481908524a8ffe3084ebb completed May 19, 2026, 12:11 p.m.
Created at: April 17, 2026, 5:19 p.m.