Triple

T23124948
Position Surface form Disambiguated ID Type / Status
Subject MRT Line 5 E577000 entity
Predicate abbreviation P43 FINISHED
Object MRT-5
MRT-5 is a mass rapid transit rail line, commonly known by its abbreviation, that forms part of an urban metro system’s network.
E1570980 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-5 | Statement: [MRT Line 5, abbreviation, MRT-5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRT-5
Context triple: [MRT Line 5, abbreviation, MRT-5]
  • A. MRT-3 maintenance and operations consortium
    The MRT-3 maintenance and operations consortium is the private group responsible for running and maintaining Manila’s Metro Rail Transit Line 3 system.
  • B. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • C. MRT
    MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
  • D. MRT
    MRT is a common abbreviation for urban metro or subway systems providing high-capacity public transportation in major cities.
  • E. MRT
    MRT is Singapore’s extensive rapid transit rail network that serves as the backbone of the city’s public transportation system.
  • 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-5
Triple: [MRT Line 5, abbreviation, MRT-5]
Generated description
MRT-5 is a mass rapid transit rail line, commonly known by its abbreviation, that forms part of an urban metro system’s network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MRT-5
Target entity description: MRT-5 is a mass rapid transit rail line, commonly known by its abbreviation, that forms part of an urban metro system’s network.
  • A. MRT-3 maintenance and operations consortium
    The MRT-3 maintenance and operations consortium is the private group responsible for running and maintaining Manila’s Metro Rail Transit Line 3 system.
  • B. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • C. MRT
    MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
  • D. MRT
    MRT is a common abbreviation for urban metro or subway systems providing high-capacity public transportation in major cities.
  • E. MRT
    MRT is Singapore’s extensive rapid transit rail network that serves as the backbone of the city’s public transportation system.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e53ac288190b27fe8064fb576c2 completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23f25dec8190984bc2dafd008a48 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.