Triple

T490624
Position Surface form Disambiguated ID Type / Status
Subject LaGuardia Airport E9979 entity
Predicate publicTransitConnection P1288 FINISHED
Object Q70 SBS
Q70 SBS is a Select Bus Service route in New York City that provides limited-stop express bus service between LaGuardia Airport and major transit hubs in Queens.
E61308 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: Q70 SBS | Statement: [LaGuardia Airport, publicTransitConnection, Q70 SBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Q70 SBS
Context triple: [LaGuardia Airport, publicTransitConnection, Q70 SBS]
  • A. Siemens S70
    The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
  • B. Quadra series
    The Quadra series was a line of high-end Apple Macintosh desktop computers from the early 1990s, known for using Motorola 68040 processors and targeting professional and power users.
  • C. Siemens SD660
    Siemens SD660 is a model of light rail vehicle built by Siemens for use in modern urban transit systems.
  • D. Denon Wing
    Denon Wing is one of the main wings of the Louvre Museum in Paris, housing many of its most famous artworks, including Leonardo da Vinci’s Mona Lisa.
  • E. SAS-4
    SAS-4 is the fourth-generation Serial Attached SCSI (SAS) interface standard that significantly increases data transfer speeds and bandwidth for enterprise storage systems.
  • 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: Q70 SBS
Triple: [LaGuardia Airport, publicTransitConnection, Q70 SBS]
Generated description
Q70 SBS is a Select Bus Service route in New York City that provides limited-stop express bus service between LaGuardia Airport and major transit hubs in Queens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Q70 SBS
Target entity description: Q70 SBS is a Select Bus Service route in New York City that provides limited-stop express bus service between LaGuardia Airport and major transit hubs in Queens.
  • A. Siemens S70
    The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
  • B. Quadra series
    The Quadra series was a line of high-end Apple Macintosh desktop computers from the early 1990s, known for using Motorola 68040 processors and targeting professional and power users.
  • C. Siemens SD660
    Siemens SD660 is a model of light rail vehicle built by Siemens for use in modern urban transit systems.
  • D. Denon Wing
    Denon Wing is one of the main wings of the Louvre Museum in Paris, housing many of its most famous artworks, including Leonardo da Vinci’s Mona Lisa.
  • E. SAS-4
    SAS-4 is the fourth-generation Serial Attached SCSI (SAS) interface standard that significantly increases data transfer speeds and bandwidth for enterprise storage systems.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0e22a308190b04d12974fd08a38 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4778034fc8190bedcc537fed5cef9 completed March 1, 2026, 5:29 p.m.
NEDg Description generation batch_69a4789d8f8081908ed56a780d5e62b3 completed March 1, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69a4790ff80481909596be35d493f6d1 completed March 1, 2026, 5:36 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.