Triple

T17616933
Position Surface form Disambiguated ID Type / Status
Subject Clareview Station E429107 entity
Predicate partOf P40 FINISHED
Object Capital Line 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: Capital Line | Statement: [Clareview Station, partOf, Capital Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capital Line
Context triple: [Clareview Station, partOf, Capital Line]
  • A. Capital Line chosen
    The Capital Line is a primary light rail transit route in Edmonton, Alberta, running through key north–south corridors and serving major destinations such as downtown and the University of Alberta.
  • B. Varsity Line
    Varsity Line was a former railway route in England that connected the university cities of Oxford and Cambridge.
  • C. Main Line
    The Main Line is a key commuter rail corridor in northern New Jersey that connects Hoboken and New York–bound services to various suburban communities as part of the NJ Transit rail network.
  • D. Main Line
    Main Line is the primary rail corridor of the Long Island Rail Road, running from New York City through central Long Island and serving as a backbone for many of its branch lines.
  • E. Evergreen Line
    Evergreen Line is a major Taiwanese container shipping company known for operating a large global fleet and extensive international trade routes.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.