Triple

T9105252
Position Surface form Disambiguated ID Type / Status
Subject West Yorkshire Metro E218461 entity
Predicate brandName P1500 FINISHED
Object Metro
Metro is the public transport brand used for bus and rail services across West Yorkshire, England.
 E777143 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: Metro | Statement: [West Yorkshire Metro, brandName, Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metro
Context triple: [West Yorkshire Metro, brandName, Metro]
  • A. Metro
    Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • B. Metro
    Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
  • C. Metro
    "Metro" is a Russian disaster thriller film featuring Svetlana Khodchenkova in a prominent role, centered on a catastrophic flood in the Moscow subway system.
  • D. Metro
    Metro is a multinational wholesale and food retail company headquartered in Germany, operating cash-and-carry stores and serving professional customers worldwide.
  • E. Metro
    Metro is the professional alias of Metro Boomin, a prominent American record producer and DJ known for shaping the sound of modern hip-hop and trap music.
  • 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: Metro
Triple: [West Yorkshire Metro, brandName, Metro]
Generated description
Metro is the public transport brand used for bus and rail services across West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metro
Target entity description: Metro is the public transport brand used for bus and rail services across West Yorkshire, England.
  • A. Metro
    Metro is the public transportation agency serving the St. Louis metropolitan area, operating bus, light rail, and paratransit services.
  • B. Metro
    Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
  • C. Metro
    Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • D. Metro
    Metro is the Los Angeles Police Department’s elite Metropolitan Division, known for handling specialized tactical operations, crowd control, and high-risk incidents.
  • E. Metro
    Metro is a multinational wholesale and food retail company headquartered in Germany, operating cash-and-carry stores and serving professional customers worldwide.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca5714d048190a633caaaa707ac3b completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01840d2488190a14d458aa181cc47 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d0196766248190aebda80cbd7d1eef completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019d76d2481909118b163ce5713f2 completed April 3, 2026, 7:49 p.m.
Created at: March 30, 2026, 7:15 p.m.