Triple

T18950593
Position Surface form Disambiguated ID Type / Status
Subject Fifth Avenue–53rd Street E463635 entity
Predicate servedByServicePattern P1294 FINISHED
Object M local
M local is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and through Queens and Brooklyn, typically operating local with orange route signage.
 E1351328 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 local | Statement: [Fifth Avenue–53rd Street, servedByServicePattern, M local]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M local
Context triple: [Fifth Avenue–53rd Street, servedByServicePattern, M local]
  • A. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • B. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • C. MA
    MA is the IATA airline designator formerly assigned to Malév Hungarian Airlines, the former flag carrier of Hungary.
  • D. MA
    MA is the standard two-letter postal abbreviation for the U.S. state of Massachusetts.
  • E. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • 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 local
Triple: [Fifth Avenue–53rd Street, servedByServicePattern, M local]
Generated description
M local is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and through Queens and Brooklyn, typically operating local with orange route signage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M local
Target entity description: M local is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and through Queens and Brooklyn, typically operating local with orange route signage.
  • A. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • B. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • C. MA
    MA is the IATA airline designator formerly assigned to Malév Hungarian Airlines, the former flag carrier of Hungary.
  • D. MA
    MA is the standard two-letter postal abbreviation for the U.S. state of Massachusetts.
  • E. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d542b238819089ccd2df279a2f7f completed April 20, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fcf905881909d212cd67878704f completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a31685208190828d84eca8306a91 completed May 14, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a05a376201c819083ac5739f09098d0 completed May 14, 2026, 10:27 a.m.
Created at: April 10, 2026, noon