Triple

T7374588
Position Surface form Disambiguated ID Type / Status
Subject 53rd Street Tunnel E170091 entity
Predicate carriedLines P51670 FINISHED
Object M service
The M service is a New York City Subway route that runs through Midtown Manhattan and Queens, providing local and express transit via key trunk lines including the 53rd Street Tunnel.
E660639 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: M service | Statement: [53rd Street Tunnel, carriedLines, M service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M service
Context triple: [53rd Street Tunnel, carriedLines, M service]
  • A. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • B. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. M
    M is an experimental musical composition by avant-garde American composer John Cage, reflecting his innovative approaches to sound and structure.
  • E. M
    M is the standard notation for the Monster group, the largest sporadic simple group in group theory and a central object in the study of finite simple groups and monstrous moonshine.
  • 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: M service
Triple: [53rd Street Tunnel, carriedLines, M service]
Generated description
The M service is a New York City Subway route that runs through Midtown Manhattan and Queens, providing local and express transit via key trunk lines including the 53rd Street Tunnel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M service
Target entity description: The M service is a New York City Subway route that runs through Midtown Manhattan and Queens, providing local and express transit via key trunk lines including the 53rd Street Tunnel.
  • A. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • B. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. M
    M is an experimental musical composition by avant-garde American composer John Cage, reflecting his innovative approaches to sound and structure.
  • E. M
    M is the standard notation for the Monster group, the largest sporadic simple group in group theory and a central object in the study of finite simple groups and monstrous moonshine.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f4eb5c808190ba08956bcf297ea8 completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802ce8e408190946637d04083521c completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c80739a09c819096267cc415e3655e completed March 28, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69c80810aff481909f4ac43f72101eb7 completed March 28, 2026, 4:55 p.m.
Created at: March 27, 2026, 3:07 p.m.