Triple

T3637958
Position Surface form Disambiguated ID Type / Status
Subject Taipei Metro E77116 entity
Predicate abbreviation P43 FINISHED
Object MRT
MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
 E376161 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: MRT | Statement: [Taipei Metro, abbreviation, MRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MRT
Context triple: [Taipei Metro, abbreviation, MRT]
  • A. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • B. MRT subway
    The MRT subway in Bangkok is a major rapid transit system that provides fast, air-conditioned underground and elevated rail services across key areas of the city.
  • C. MRT Dark Red Line
    MRT Dark Red Line is a mass rapid transit route on the MRT subway system, serving as one of its primary urban rail lines.
  • D. MRT Grey Line
    The MRT Grey Line is a planned rapid transit route within the MRT subway network designed to expand urban rail connectivity along its corridor.
  • E. MRT Purple Line
    The MRT Purple Line is a mass rapid transit route in Bangkok, Thailand, serving as one of the city's key urban rail corridors.
  • 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: MRT
Triple: [Taipei Metro, abbreviation, MRT]
Generated description
MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MRT
Target entity description: MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
  • A. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • B. MRT subway
    The MRT subway in Bangkok is a major rapid transit system that provides fast, air-conditioned underground and elevated rail services across key areas of the city.
  • C. MRT Dark Red Line
    MRT Dark Red Line is a mass rapid transit route on the MRT subway system, serving as one of its primary urban rail lines.
  • D. MRT Grey Line
    The MRT Grey Line is a planned rapid transit route within the MRT subway network designed to expand urban rail connectivity along its corridor.
  • E. MRT Purple Line
    The MRT Purple Line is a mass rapid transit route in Bangkok, Thailand, serving as one of the city's key urban rail corridors.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc328e5e481909d26318c743bc84a completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f23298481909d313d6b3f8013cd completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b450785378819090b4ed7536db7757 completed March 13, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_69b45a0afef8819097c6e87127b4d1db completed March 13, 2026, 6:40 p.m.
Created at: March 8, 2026, 3:24 p.m.