Triple

T17401170
Position Surface form Disambiguated ID Type / Status
Subject EastLink E423089 entity
Predicate operator P179 FINISHED
Object ConnectEast 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: ConnectEast | Statement: [EastLink, operator, ConnectEast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ConnectEast
Context triple: [EastLink, operator, ConnectEast]
  • A. ConnectEast chosen
    ConnectEast is an Australian infrastructure company best known for developing and operating the EastLink toll road in Melbourne.
  • B. OCT East
    OCT East is a large eco-themed resort and amusement complex in Shenzhen, China, featuring theme parks, hotels, golf courses, and scenic natural areas.
  • C. One NorthEast
    One NorthEast was the former regional development agency responsible for promoting economic growth and regeneration in North East England.
  • D. CommuniCore East
    CommuniCore East was an original Future World pavilion at EPCOT Center in Walt Disney World, focused on interactive exhibits about communication and technology before being replaced by Innoventions.
  • E. Career Center East
    Career Center East is a specialized high school facility in the Lewisville Independent School District that offers career and technical education programs to prepare students for various professions and postsecondary pathways.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac126788190b51323bde3c9ba69 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.