Triple

T587350
Position Surface form Disambiguated ID Type / Status
Subject Manitoba E15186 entity
Predicate postalAbbreviation P43 FINISHED
Object MB
MB is the official two-letter Canada Post abbreviation used to designate the province of Manitoba in mailing addresses and postal codes.
 E73630 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: MB | Statement: [Manitoba, postalAbbreviation, MB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MB
Context triple: [Manitoba, postalAbbreviation, MB]
  • A. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • B. KB
    KB is a distinct entity from Kt, likely representing a separate concept, object, or identifier within the same domain.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • E. CB
    CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
  • 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: MB
Triple: [Manitoba, postalAbbreviation, MB]
Generated description
MB is the official two-letter Canada Post abbreviation used to designate the province of Manitoba in mailing addresses and postal codes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MB
Target entity description: MB is the official two-letter Canada Post abbreviation used to designate the province of Manitoba in mailing addresses and postal codes.
  • A. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • B. KB
    KB is a distinct entity from Kt, likely representing a separate concept, object, or identifier within the same domain.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • E. CB
    CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9bf0cc8190a145ccd6fc501349 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5103a30fc819086a1e95d4dfc8749 completed March 2, 2026, 4:21 a.m.
NEDg Description generation batch_69a511460df4819099f70838f0f28e4b completed March 2, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69a511b4b63481909b8f027726f5778e completed March 2, 2026, 4:27 a.m.
Created at: March 1, 2026, 7:33 p.m.