Triple

T12046541
Position Surface form Disambiguated ID Type / Status
Subject Ghent-Saint-Peter's railway station E286800 entity
Predicate railwayLine P848 FINISHED
Object Line 59
Line 59 is a Belgian railway line that connects the cities of Ghent and Antwerp.
 E961566 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 59 | Statement: [Ghent-Saint-Peter's railway station, railwayLine, Line 59]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 59
Context triple: [Ghent-Saint-Peter's railway station, railwayLine, Line 59]
  • A. Line 54
    Line 54 is a public transport route that runs through Amsterdam, including a stop at Wibautstraat.
  • B. Line 49
    Line 49 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • C. Line 50
    Line 50 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • D. Line 39
    Line 39 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • E. Line 48
    Line 48 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
  • 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 59
Triple: [Ghent-Saint-Peter's railway station, railwayLine, Line 59]
Generated description
Line 59 is a Belgian railway line that connects the cities of Ghent and Antwerp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 59
Target entity description: Line 59 is a Belgian railway line that connects the cities of Ghent and Antwerp.
  • A. Line 54
    Line 54 is a public transport route that runs through Amsterdam, including a stop at Wibautstraat.
  • B. Line 49
    Line 49 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • C. Line 50
    Line 50 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • D. Line 39
    Line 39 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • E. Line 48
    Line 48 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
  • 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.