Triple

T17357236
Position Surface form Disambiguated ID Type / Status
Subject DEG Metro Stars E421969 entity
Predicate sponsorRelatedName P44149 FINISHED
Object Metro
Metro is a major international retail and wholesale brand known for operating large cash-and-carry and supermarket chains.
 — NE ONNED2

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: [DEG Metro Stars, sponsorRelatedName, Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metro
Context triple: [DEG Metro Stars, sponsorRelatedName, 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 a Russian disaster thriller film featuring Svetlana Khodchenkova in a prominent role, centered on a catastrophic flood in the Moscow subway system.
  • C. Metro
    Metro is a multinational wholesale and food retail company headquartered in Germany, operating cash-and-carry stores and serving professional customers worldwide.
  • D. 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.
  • E. Metro
    Metro is a city in the Indonesian province of Lampung on the island of Sumatra, known as one of the region’s key urban and educational centers.
  • 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: [DEG Metro Stars, sponsorRelatedName, Metro]
Generated description
Metro is a major international retail and wholesale brand known for operating large cash-and-carry and supermarket chains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metro
Target entity description: Metro is a major international retail and wholesale brand known for operating large cash-and-carry and supermarket chains.
  • A. Metro chosen
    Metro is a multinational wholesale and food retail company headquartered in Germany, operating cash-and-carry stores and serving professional customers worldwide.
  • B. 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.
  • C. Metro
    Metro is the public transportation agency serving the St. Louis metropolitan area, operating bus, light rail, and paratransit services.
  • D. Metro
    Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • E. Metro
    Metro is the public transport brand used for bus and rail services across West Yorkshire, England.
  • F. None of above.

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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4976788190b00c00f710be6c46 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955c37b48190bcef819e106005d2 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a0195eb944c81909c5cde7899c50924 completed May 11, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_6a01966875308190b36fa5005c6b5aa7 created May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:44 a.m.