Triple

T3486953
Position Surface form Disambiguated ID Type / Status
Subject CA-MB E73629 entity
Predicate hasTwoLetterSubdivisionCode P2261 FINISHED
Object MB E73630 NE FINISHED

How this triple was built (3 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: [CA-MB, hasTwoLetterSubdivisionCode, MB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MB
Context triple: [CA-MB, hasTwoLetterSubdivisionCode, MB]
  • A. MB chosen
    MB is the official two-letter Canada Post abbreviation used to designate the province of Manitoba in mailing addresses and postal codes.
  • B. MMB
    MMB is the commonly used abbreviation for the Michigan Marching Band, the official marching band of the University of Michigan known for its performances at football games and major events.
  • C. MBZ
    MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
  • D. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • E. MP
    MP is the IATA airline designator assigned to Martinair, a Dutch cargo and former passenger airline based in the Netherlands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTwoLetterSubdivisionCode
Context triple: [CA-MB, hasTwoLetterSubdivisionCode, MB]
  • A. hasSubdivisionCode
    Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
  • B. isTwoLetterCode chosen
    Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
  • C. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • D. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • E. hasSubdivisionCodeContext
    Indicates that a subdivision code is interpreted within a specific coding or contextual framework that defines its meaning.
  • F. None of above.

Provenance (4 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb9059f881908f9cbe544365c8df completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b368248f9c81908a1905a705e57c53 completed March 13, 2026, 1:28 a.m.
PD Predicate disambiguation batch_69adae0935ac8190bfa8a8bd3dcd3301 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.