Triple

T21651805
Position Surface form Disambiguated ID Type / Status
Subject City Circle E534355 entity
Predicate connectsWith P37 FINISHED
Object Airport & South Line E348452 NE FINISHED

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: Airport & South Line | Statement: [City Circle, connectsWith, Airport & South Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport & South Line
Context triple: [City Circle, connectsWith, Airport & South Line]
  • A. Airport & South Line chosen
    Airport & South Line is a suburban rail service in Sydney that links the central business district with the airport and southern suburbs.
  • B. Airport–South Hylton line
    The Airport–South Hylton line is a Tyne and Wear Metro route in North East England that links Newcastle Airport with Sunderland via central Newcastle.
  • C. Northeast Line
    The Northeast Line, now known as MARTA's Gold Line, is a rapid transit route serving key northeastern suburbs and neighborhoods of Atlanta, Georgia.
  • D. Suburban Line
    The Suburban Line is a commuter rail branch of Metra’s Rock Island District serving Chicago-area suburbs.
  • E. Suburban Line
    The Suburban Line is a commuter rail service of the Beijing Subway system that connects the city center with outlying suburban districts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5914a3f88190b797188eba34edd8 completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1593cef08190a1e8484509faec3f completed May 17, 2026, 7:23 p.m.
Created at: April 16, 2026, 6:36 p.m.