Triple

T22298373
Position Surface form Disambiguated ID Type / Status
Subject Mountains-to-Sea Trail E551183 entity
Predicate abbreviation P43 FINISHED
Object MST NE NERFINISHED

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: MST | Statement: [Mountains-to-Sea Trail, abbreviation, MST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MST
Context triple: [Mountains-to-Sea Trail, abbreviation, MST]
  • A. MST
    MST is a DisplayPort feature that allows multiple independent video and audio streams to be transmitted over a single physical DisplayPort connection, enabling daisy-chaining and multi-monitor setups.
  • B. MST
    MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
  • C. MST
    MST is the station code for Morisset railway station, a regional train stop on the Main Northern line in New South Wales, Australia.
  • D. MST
    MST is the station code for Misterios station, a stop on the Mexico City Metro system.
  • E. MCST
    MCST is the abbreviated name for South Korea’s Ministry of Culture, Sports and Tourism, the government body responsible for cultural policy, sports promotion, and tourism development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MST
Target entity description: MST is a long-distance hiking trail that spans North Carolina from the Great Smoky Mountains to the Atlantic Ocean.
  • A. MST
    MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
  • B. MST
    MST is a DisplayPort feature that allows multiple independent video and audio streams to be transmitted over a single physical DisplayPort connection, enabling daisy-chaining and multi-monitor setups.
  • C. MST
    MST is the station code for Morisset railway station, a regional train stop on the Main Northern line in New South Wales, Australia.
  • D. MST
    MST is the station code for Misterios station, a stop on the Mexico City Metro system.
  • E. MCST
    MCST is the abbreviated name for South Korea’s Ministry of Culture, Sports and Tourism, the government body responsible for cultural policy, sports promotion, and tourism development.
  • F. None of above. chosen

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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572200c88190b9413286136fef15 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.