Triple

T12046539
Position Surface form Disambiguated ID Type / Status
Subject Ghent-Saint-Peter's railway station E286800 entity
Predicate railwayLine P848 FINISHED
Object Line 50A
Line 50A is a major Belgian railway line that connects Ghent with other key cities, serving as an important route in the national rail network.
E961565 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 50A | Statement: [Ghent-Saint-Peter's railway station, railwayLine, Line 50A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 50A
Context triple: [Ghent-Saint-Peter's railway station, railwayLine, Line 50A]
  • A. Line 5
    Line 5 is a major east–west rapid transit line of the Seoul Metropolitan Subway system in South Korea, serving key districts across the city and extending into surrounding areas.
  • B. Line 5
    Line 5 is a major east–west rapid transit route in the Guangzhou Metro system, serving key urban districts and facilitating high-capacity cross-city travel.
  • C. Line 5
    Line 5 is a major east–west route of the Brussels Metro system, connecting key districts across the Belgian capital.
  • D. Line 5
    Line 5 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as one of the city's key urban rail corridors.
  • E. Line 5
    Line 5 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as one of the city's main urban rail corridors.
  • 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 50A
Triple: [Ghent-Saint-Peter's railway station, railwayLine, Line 50A]
Generated description
Line 50A is a major Belgian railway line that connects Ghent with other key cities, serving as an important route in the national rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 50A
Target entity description: Line 50A is a major Belgian railway line that connects Ghent with other key cities, serving as an important route in the national rail network.
  • A. Line 5
    Line 5 is a major east–west rapid transit line of the Seoul Metropolitan Subway system in South Korea, serving key districts across the city and extending into surrounding areas.
  • B. Line 5
    Line 5 is a major east–west rapid transit route in the Guangzhou Metro system, serving key urban districts and facilitating high-capacity cross-city travel.
  • C. Line 5
    Line 5 is a major east–west route of the Brussels Metro system, connecting key districts across the Belgian capital.
  • D. Line 5
    Line 5 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as one of the city's key urban rail corridors.
  • E. Line 5
    Line 5 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as one of the city's main urban rail corridors.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904211b588190bfc7603e5b33dcb7 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49db574bc8190a0f2f858a2ff788d completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564b826ec819098906cf735e45093 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.