Triple

T16503845
Position Surface form Disambiguated ID Type / Status
Subject 36th Avenue station E400869 entity
Predicate stationCode P1289 FINISHED
Object R09
R09 is the station code assigned to the 36th Avenue subway station in the New York City Transit system.
 E1216926 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: R09 | Statement: [36th Avenue station, stationCode, R09]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R09
Context triple: [36th Avenue station, stationCode, R09]
  • A. R08
    R08 is the pennant number of HMS Queen Elizabeth, the lead ship of the Royal Navy’s Queen Elizabeth-class aircraft carriers and one of the largest warships ever built for the United Kingdom.
  • B. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • C. R-9
    R-9 is a Soviet-era intercontinental ballistic missile developed during the Cold War for long-range nuclear delivery.
  • D. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • E. R01
    R01 is the station code used by the New York City Subway for the Astoria–Ditmars Boulevard terminal station on the BMT Astoria Line in Queens.
  • 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: R09
Triple: [36th Avenue station, stationCode, R09]
Generated description
R09 is the station code assigned to the 36th Avenue subway station in the New York City Transit system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R09
Target entity description: R09 is the station code assigned to the 36th Avenue subway station in the New York City Transit system.
  • A. R08
    R08 is the pennant number of HMS Queen Elizabeth, the lead ship of the Royal Navy’s Queen Elizabeth-class aircraft carriers and one of the largest warships ever built for the United Kingdom.
  • B. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • C. R-9
    R-9 is a Soviet-era intercontinental ballistic missile developed during the Cold War for long-range nuclear delivery.
  • D. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • E. R01
    R01 is the station code used by the New York City Subway for the Astoria–Ditmars Boulevard terminal station on the BMT Astoria Line in Queens.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582e6e288190825af8758097e325 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059cb0e8c81908745e5f5a1c64117 completed May 10, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_6a005ab310f481909193c5c5fe322d2a completed May 10, 2026, 10:15 a.m.
Created at: April 10, 2026, 5:14 a.m.