Triple

T12695110
Position Surface form Disambiguated ID Type / Status
Subject Norwood E303311 entity
Predicate servedByBus P14525 FINISHED
Object Bx30
Bx30 is a New York City bus route in the Bronx that connects the Norwood neighborhood with other parts of the borough.
 E998258 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: Bx30 | Statement: [Norwood, servedByBus, Bx30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bx30
Context triple: [Norwood, servedByBus, Bx30]
  • A. Bx2
    The Bx2 is a New York City bus route that runs through the Bronx, connecting key neighborhoods and transit hubs along major corridors.
  • B. Bx10
    The Bx10 is a New York City bus route in the Bronx that connects the Riverdale neighborhood with other parts of the borough.
  • C. Bx4
    Bx4 is a New York City bus route that connects the Bronx Hub at Third Avenue–149th Street with other key destinations in the Bronx.
  • D. Bx7
    The Bx7 is a New York City bus route in the Bronx that connects the Riverdale neighborhood with other parts of the borough.
  • E. Bx21
    The Bx21 is a New York City bus route that connects the Bronx Hub at Third Avenue–149th Street with other key destinations in the Bronx.
  • 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: Bx30
Triple: [Norwood, servedByBus, Bx30]
Generated description
Bx30 is a New York City bus route in the Bronx that connects the Norwood neighborhood with other parts of the borough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bx30
Target entity description: Bx30 is a New York City bus route in the Bronx that connects the Norwood neighborhood with other parts of the borough.
  • A. Bx2
    The Bx2 is a New York City bus route that runs through the Bronx, connecting key neighborhoods and transit hubs along major corridors.
  • B. Bx10
    The Bx10 is a New York City bus route in the Bronx that connects the Riverdale neighborhood with other parts of the borough.
  • C. Bx4
    Bx4 is a New York City bus route that connects the Bronx Hub at Third Avenue–149th Street with other key destinations in the Bronx.
  • D. Bx7
    The Bx7 is a New York City bus route in the Bronx that connects the Riverdale neighborhood with other parts of the borough.
  • E. Bx21
    The Bx21 is a New York City bus route that connects the Bronx Hub at Third Avenue–149th Street with other key destinations in the Bronx.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671ae935c8190a7fc2cf3c0987248 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6740129688190b286ce7acb4848c7 completed May 2, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69f675249d248190933421df49d3a2ab completed May 2, 2026, 10:05 p.m.
Created at: April 9, 2026, 5:22 p.m.