Triple

T19034408
Position Surface form Disambiguated ID Type / Status
Subject Misterios station E465827 entity
Predicate hasStationCode P1289 FINISHED
Object MST
MST is the station code for Misterios station, a stop on the Mexico City Metro system.
 E1354219 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: MST | Statement: [Misterios station, hasStationCode, MST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MST
Context triple: [Misterios station, hasStationCode, 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. 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.
  • E. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • 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: MST
Triple: [Misterios station, hasStationCode, MST]
Generated description
MST is the station code for Misterios station, a stop on the Mexico City Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MST
Target entity description: MST is the station code for Misterios station, a stop on the Mexico City Metro system.
  • 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. 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.
  • E. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d74295b88190b1c4621735a06223 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be5e79f48190830e43da6f0b9b63 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf3e399c81909dbae7885b86dfb7 completed May 14, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a05bfb47d648190877cfeb7b3b9cf93 completed May 14, 2026, 12:27 p.m.
Created at: April 10, 2026, 12:02 p.m.