Triple

T6938190
Position Surface form Disambiguated ID Type / Status
Subject Bucharest Metro E160604 entity
Predicate operator P179 FINISHED
Object Metrorex
Metrorex is the state-owned company responsible for operating and managing the Bucharest Metro system in Romania.
 E629455 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: Metrorex | Statement: [Bucharest Metro, operator, Metrorex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metrorex
Context triple: [Bucharest Metro, operator, Metrorex]
  • A. Setonix
    Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
  • B. Marval
    Marval is an actor known for appearing in the landmark 1929 surrealist film "Un Chien Andalou," directed by Luis Buñuel and co-written with Salvador Dalí.
  • C. Neometron
    Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
  • D. Waldomore
    Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the community.
  • E. Arcore
    Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
  • 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: Metrorex
Triple: [Bucharest Metro, operator, Metrorex]
Generated description
Metrorex is the state-owned company responsible for operating and managing the Bucharest Metro system in Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metrorex
Target entity description: Metrorex is the state-owned company responsible for operating and managing the Bucharest Metro system in Romania.
  • A. Setonix
    Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
  • B. Marval
    Marval is an actor known for appearing in the landmark 1929 surrealist film "Un Chien Andalou," directed by Luis Buñuel and co-written with Salvador Dalí.
  • C. Neometron
    Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
  • D. Waldomore
    Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the community.
  • E. Arcore
    Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da62d2f88190968d3fea538a95c9 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515509148190b5739cdf8cd7a28a completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c752c9b3d08190960d3c1aa88a93a7 completed March 28, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69c7537ea24c819081bb672d43d4a373 completed March 28, 2026, 4:05 a.m.
Created at: March 27, 2026, 2:28 p.m.