Triple

T19348136
Position Surface form Disambiguated ID Type / Status
Subject Jamaica E483937 entity
Predicate connectsLine P845 FINISHED
Object Line 9
Line 9 is a New York City Subway service that stops at Jamaica, a major transit hub in Queens.
 E1371010 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: Line 9 | Statement: [Jamaica, connectsLine, Line 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 9
Context triple: [Jamaica, connectsLine, Line 9]
  • A. Line 9
    Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
  • B. Line 9
    Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
  • C. Line 9
    Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
  • D. Line 9
    Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
  • E. Line 9
    Line 9 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's expanding urban rail network.
  • 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: Line 9
Triple: [Jamaica, connectsLine, Line 9]
Generated description
Line 9 is a New York City Subway service that stops at Jamaica, a major transit hub in Queens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 9
Target entity description: Line 9 is a New York City Subway service that stops at Jamaica, a major transit hub in Queens.
  • A. Line 9
    Line 9 is a major rapid transit line in the Seoul Metropolitan Subway system known for its express services that significantly reduce travel time across key areas of the city.
  • B. Line 9
    Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
  • C. Line 9
    Line 9 is a rapid transit line of the Beijing Subway system that serves as part of the city's urban rail network.
  • D. Line 9
    Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
  • E. Line 9
    Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185c95248190b1e5bb8626489767 completed April 20, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071bed1c608190a71094aa2645199d completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071cc1c76c8190b99ef2b319f6ab39 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071d787dd881908d86c5fe52ca2561 completed May 15, 2026, 1:19 p.m.
Created at: April 10, 2026, 1:34 p.m.