Triple

T14467037
Position Surface form Disambiguated ID Type / Status
Subject Valencia urban bus network E358738 entity
Predicate shortName P43 FINISHED
Object EMT Valencia
EMT Valencia is the main public bus operator providing urban transport services throughout the city of Valencia, Spain.
 E1101604 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: EMT Valencia | Statement: [Valencia urban bus network, shortName, EMT Valencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMT Valencia
Context triple: [Valencia urban bus network, shortName, EMT Valencia]
  • A. EMT Madrid
    EMT Madrid is the public bus and urban transport company serving the city of Madrid, Spain.
  • B. EMC Club
    The EMC Club is a premium seating and dining area at Fenway Park offering upscale amenities and elevated views of Boston Red Sox games.
  • C. Melgar
    Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
  • D. SV Weiler
    SV Weiler is a German football club known as one of the early teams in the career of former international striker Karl-Heinz Riedle.
  • E. CLT FC
    CLT FC is the abbreviated name commonly used for Charlotte FC, a professional Major League Soccer club based in Charlotte, North Carolina.
  • 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: EMT Valencia
Triple: [Valencia urban bus network, shortName, EMT Valencia]
Generated description
EMT Valencia is the main public bus operator providing urban transport services throughout the city of Valencia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMT Valencia
Target entity description: EMT Valencia is the main public bus operator providing urban transport services throughout the city of Valencia, Spain.
  • A. EMT Madrid
    EMT Madrid is the public bus and urban transport company serving the city of Madrid, Spain.
  • B. EMC Club
    The EMC Club is a premium seating and dining area at Fenway Park offering upscale amenities and elevated views of Boston Red Sox games.
  • C. Melgar
    Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
  • D. SV Weiler
    SV Weiler is a German football club known as one of the early teams in the career of former international striker Karl-Heinz Riedle.
  • E. CLT FC
    CLT FC is the abbreviated name commonly used for Charlotte FC, a professional Major League Soccer club based in Charlotte, North Carolina.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f8613c819080424104c0b7f4c3 completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6499c7188190a79411b471cfa7d4 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd68a687dc8190bbb1ea24bfdb674b completed May 8, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69fd69982e648190b9af4f2895514c3e completed May 8, 2026, 4:42 a.m.
Created at: April 10, 2026, 1:19 a.m.