Triple

T2671699
Position Surface form Disambiguated ID Type / Status
Subject Brussels Metro E55760 entity
Predicate hasLine P35 FINISHED
Object Line 6
Line 6 is a rapid transit route of the Brussels Metro system that serves key stations in Belgium’s capital.
 E288961 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: Line 6 | Statement: [Brussels Metro, hasLine, Line 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 6
Context triple: [Brussels Metro, hasLine, Line 6]
  • A. Line 6
    Line 6 is a modern, fully automated metro line in the Santiago Metro system in Chile, known for its driverless trains and advanced safety features.
  • B. Line 6
    Line 6 is a major rapid transit route in the Beijing Subway system that runs east–west across the city, helping to relieve congestion on other central lines.
  • C. Line 6
    Line 6 is a route of the Mexico City Metro system that runs east–west across the northern part of the city, connecting several residential and commercial areas.
  • D. Line 6
    Line 6 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving multiple urban districts with frequent subway service.
  • E. Line 6
    Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
  • 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: Line 6
Triple: [Brussels Metro, hasLine, Line 6]
Generated description
Line 6 is a rapid transit route of the Brussels Metro system that serves key stations in Belgium’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 6
Target entity description: Line 6 is a rapid transit route of the Brussels Metro system that serves key stations in Belgium’s capital.
  • A. Line 6
    Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
  • B. Line 6
    Line 6 is a major rapid transit route in the Beijing Subway system that runs east–west across the city, helping to relieve congestion on other central lines.
  • C. Line 6
    Line 6 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
  • D. Line 6
    Line 6 is a major north–south route of the Tehran Metro system, serving numerous key districts across Iran’s capital city.
  • E. Line 6
    Line 6 is a modern, fully automated metro line in the Santiago Metro system in Chile, known for its driverless trains and advanced safety features.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98f98908190b5c6fb38d3d4367a completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa05f1ba48190a93a399d1067912c completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa180fadc8190b376687c8afb1748 completed March 10, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69afa2172bc881908e17ab0eb3f9bb08 completed March 10, 2026, 4:46 a.m.
Created at: March 6, 2026, 9:54 p.m.