Triple

T22195066
Position Surface form Disambiguated ID Type / Status
Subject Mission Leadership Selection Team E548525 entity
Predicate abbreviation P43 FINISHED
Object MLST 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: MLST | Statement: [Mission Leadership Selection Team, abbreviation, MLST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MLST
Context triple: [Mission Leadership Selection Team, abbreviation, MLST]
  • A. MLST chosen
    MLST is an acronym for the Mission Leadership Selection Team, a group responsible for identifying and appointing leaders for mission-related roles.
  • B. MLSNP
    MLSNP is the commonly used abbreviation for MLS Next Pro, a professional soccer league in the United States and Canada that serves as a developmental tier for Major League Soccer.
  • C. DNAI
    DNAI is the ICAO airport code assigned to Victor Attah International Airport in Akwa Ibom State, Nigeria.
  • D. MLSTP/PSD
    MLSTP/PSD is a major political party in São Tomé and Príncipe, historically rooted in the country’s independence movement and later evolving into a social democratic party.
  • E. McDonald–Kreitman test
    The McDonald–Kreitman test is a population genetics method that compares patterns of polymorphism and divergence at different classes of sites to detect deviations from neutrality and infer natural selection.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae6f7a881908cf1772326f91467 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.