Triple

T17571730
Position Surface form Disambiguated ID Type / Status
Subject Woodhaven Boulevard E427955 entity
Predicate hasConnection P8776 FINISHED
Object QM10
QM10 is a New York City express bus route that provides commuter service between Queens and Manhattan.
 E1277268 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: QM10 | Statement: [Woodhaven Boulevard, hasConnection, QM10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QM10
Context triple: [Woodhaven Boulevard, hasConnection, QM10]
  • A. QM2
    QM2 is an express bus route in New York City that provides commuter service between Queens and Manhattan.
  • B. QM32
    QM32 is an express bus route in New York City that provides commuter service between Bay Terrace in Queens and Manhattan.
  • C. OM10
    OM10 is the station code assigned to Jiyugaoka Station on the Tokyu railway network in Tokyo, Japan.
  • D. HQ10
    HQ10 is a television production studio facility that forms part of Dock10’s media and broadcast complex in Salford, UK.
  • E. QL1A
    QL1A is Vietnam’s primary north–south national highway, running the length of the country and connecting most major cities and regions.
  • 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: QM10
Triple: [Woodhaven Boulevard, hasConnection, QM10]
Generated description
QM10 is a New York City express bus route that provides commuter service between Queens and Manhattan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QM10
Target entity description: QM10 is a New York City express bus route that provides commuter service between Queens and Manhattan.
  • A. QM2
    QM2 is an express bus route in New York City that provides commuter service between Queens and Manhattan.
  • B. QM32
    QM32 is an express bus route in New York City that provides commuter service between Bay Terrace in Queens and Manhattan.
  • C. OM10
    OM10 is the station code assigned to Jiyugaoka Station on the Tokyu railway network in Tokyo, Japan.
  • D. HQ10
    HQ10 is a television production studio facility that forms part of Dock10’s media and broadcast complex in Salford, UK.
  • E. QL1A
    QL1A is Vietnam’s primary north–south national highway, running the length of the country and connecting most major cities and regions.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45930b0748190b55b95c523c47460 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01dde81264819097f7cb7448842eac completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01e246a9c48190b5b728ffb385de31 completed May 11, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_6a01e2d0b7748190b9a179001e7dab94 completed May 11, 2026, 2:08 p.m.
Created at: April 10, 2026, 5:50 a.m.