Triple

T17922941
Position Surface form Disambiguated ID Type / Status
Subject JMSB E448117 entity
Predicate shortName P43 FINISHED
Object JMSB NE NERFINISHED

How this triple was built (2 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: JMSB | Statement: [JMSB, shortName, JMSB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JMSB
Context triple: [JMSB, shortName, JMSB]
  • A. JMSB chosen
    JMSB is a leading Canadian business school that is part of Concordia University in Montreal, offering undergraduate and graduate programs in business and management.
  • B. MBSJ
    MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
  • C. JBM
    JBM is a professional NBA 2K League player best known for leading Wizards District Gaming to a championship and earning Finals MVP honors in the 2020 season.
  • D. JMB
    JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
  • E. WMSB
    WMSB is the former ICAO airport code for Sultan Abdul Aziz Shah Airport in Subang, Malaysia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30ad8748190b28d3e8b5afab2ef completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.