Triple

T8324769
Position Surface form Disambiguated ID Type / Status
Subject Parkside railway station E194922 entity
Predicate namedAfter P63 FINISHED
Object Parkside E588216 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: Parkside | Statement: [Parkside railway station, namedAfter, Parkside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkside
Context triple: [Parkside railway station, namedAfter, Parkside]
  • A. Parkside
    Parkside is a primarily residential neighborhood on the western side of San Francisco, known for its quiet streets, proximity to the ocean, and access to public transit.
  • B. Parkside chosen
    Parkside is a residential suburb located within the coastal city of Timaru in the South Island of New Zealand.
  • C. Parkside
    Parkside is a central area and street in Cambridge, England, known for bordering the historic Parker’s Piece common and providing access to key city amenities and transport links.
  • D. Parkview
    Parkview is a locality within the rural Leeton Shire area of New South Wales, Australia.
  • E. Parkwood
    Parkwood is a residential neighborhood in the Far Northeast section of Philadelphia, Pennsylvania, known for its suburban-style housing and proximity to major roadways.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f7e4f8081908e0f876ad962c932 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde78855908190a87a0d3456c0e8ef completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:56 p.m.