Triple

T21331852
Position Surface form Disambiguated ID Type / Status
Subject Kintetsu Keihanna Line E525922 entity
Predicate servesArea P82 FINISHED
Object Keihanna Science City area NE NERFINISHED

How this triple was built (2 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: Keihanna Science City area | Statement: [Kintetsu Keihanna Line, servesArea, Keihanna Science City area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keihanna Science City area
Context triple: [Kintetsu Keihanna Line, servesArea, Keihanna Science City area]
  • A. Keihanna Science City area chosen
    Keihanna Science City area is a planned high-tech research and academic hub in the Kansai region of Japan, known for its concentration of universities, laboratories, and innovative industries.
  • B. Sector 11-Y
    Sector 11-Y is a residential neighborhood located within the North Karachi area of Karachi, Pakistan.
  • C. Sector 11-R
    Sector 11-R is a residential and commercial neighborhood located within the North Karachi area of Karachi, Pakistan.
  • D. Sector 11-X
    Sector 11-X is a residential and commercial neighborhood located within the North Karachi area of Karachi, Pakistan.
  • E. Kista Science City
    Kista Science City is a major technology and innovation hub in Stockholm, often referred to as Sweden’s Silicon Valley due to its concentration of ICT companies, research institutions, and startups.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab54706081909445f9cd91a43788 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.