Triple

T12664067
Position Surface form Disambiguated ID Type / Status
Subject BxM9 E302499 entity
Predicate routeNumber P1864 FINISHED
Object BxM9
BxM9 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
 E996467 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: BxM9 | Statement: [BxM9, routeNumber, BxM9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BxM9
Context triple: [BxM9, routeNumber, BxM9]
  • A. BxM1
    BxM1 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
  • B. BxM2
    BxM2 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
  • C. BxM18
    BxM18 is an express bus route in New York City that connects the Riverdale neighborhood in the Bronx with Manhattan.
  • D. M9
    M9 is a major motorway in Scotland that connects Edinburgh to Stirling and the Highlands, forming part of the country’s primary north–south road network.
  • E. Bx19
    Bx19 is a New York City bus route that provides crosstown service between the Bronx and Manhattan, connecting key transit hubs and neighborhoods along its path.
  • 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: BxM9
Triple: [BxM9, routeNumber, BxM9]
Generated description
BxM9 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BxM9
Target entity description: BxM9 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
  • A. BxM1
    BxM1 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
  • B. BxM2
    BxM2 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
  • C. BxM18
    BxM18 is an express bus route in New York City that connects the Riverdale neighborhood in the Bronx with Manhattan.
  • D. M9
    M9 is a major motorway in Scotland that connects Edinburgh to Stirling and the Highlands, forming part of the country’s primary north–south road network.
  • E. Bx19
    Bx19 is a New York City bus route that provides crosstown service between the Bronx and Manhattan, connecting key transit hubs and neighborhoods along its path.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688a19148190b8d252d3706d2b05 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:19 p.m.