Triple

T17353695
Position Surface form Disambiguated ID Type / Status
Subject Jack Layton Ferry Terminal E421876 entity
Predicate connectsTo P845 FINISHED
Object Hanlan's Point 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: Hanlan's Point | Statement: [Jack Layton Ferry Terminal, connectsTo, Hanlan's Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanlan's Point
Context triple: [Jack Layton Ferry Terminal, connectsTo, Hanlan's Point]
  • A. Hanlan’s Point chosen
    Hanlan’s Point is a popular recreational area on the Toronto Islands known for its beaches, parkland, and views of the Toronto skyline.
  • B. Barrack Point
    Barrack Point is a coastal suburb in the City of Shellharbour, New South Wales, known for its beaches and residential character.
  • C. Chapel Point
    Chapel Point is a historic riverside area in Charles County, Maryland, known for its early Catholic heritage and scenic setting along the Port Tobacco River.
  • D. Hancock Point
    Hancock Point is a small coastal village in Hancock, Maine, known for its scenic views across Frenchman Bay and its historic summer community.
  • E. Lover’s Point
    Lover’s Point is a literary work by Chinese-American author C. Y. Lee, best known for exploring themes of love, identity, and cultural conflict.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2e660c81908700aed5c42e9043 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.