Triple

T10425594
Position Surface form Disambiguated ID Type / Status
Subject Kent Ridge E245776 entity
Predicate servedBy P82 FINISHED
Object Circle Line
Circle Line is a mass rapid transit line in Singapore that forms a loop connecting key residential, commercial, and educational districts around the city.
 E862559 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: Circle Line | Statement: [Kent Ridge, servedBy, Circle Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Circle Line
Context triple: [Kent Ridge, servedBy, Circle Line]
  • A. Circle line
    The Circle line is a central London Underground route forming a loop through key districts and interchanges in the city’s transport network.
  • B. Circular line
    The Circular line is a driverless rapid transit line in the Taipei Metro system that forms a loop connecting multiple districts around the city.
  • C. Circular line
    Circular line is the nickname for Line 6 of the Madrid Metro, a heavily used underground route that forms a loop around central Madrid.
  • D. Loop Line
    Loop Line is a circular rapid transit route within the Chongqing Metro system that connects multiple key districts in Chongqing, China.
  • E. Line P
    Line P is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
  • 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: Circle Line
Triple: [Kent Ridge, servedBy, Circle Line]
Generated description
Circle Line is a mass rapid transit line in Singapore that forms a loop connecting key residential, commercial, and educational districts around the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Circle Line
Target entity description: Circle Line is a mass rapid transit line in Singapore that forms a loop connecting key residential, commercial, and educational districts around the city.
  • A. Circle line
    The Circle line is a central London Underground route forming a loop through key districts and interchanges in the city’s transport network.
  • B. Circular line
    The Circular line is a driverless rapid transit line in the Taipei Metro system that forms a loop connecting multiple districts around the city.
  • C. Circular line
    Circular line is the nickname for Line 6 of the Madrid Metro, a heavily used underground route that forms a loop around central Madrid.
  • D. Loop Line
    Loop Line is a circular rapid transit route within the Chongqing Metro system that connects multiple key districts in Chongqing, China.
  • E. Line P
    Line P is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea48cb348190ad4432f263300592 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2160208190b6384190d9537df4 completed April 9, 2026, 7:21 p.m.
NEDg Description generation batch_69d822d76f3481909f7c04be19414b14 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859fd8f0c8190b0fec880e1180e50 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:12 p.m.