Triple

T9580498
Position Surface form Disambiguated ID Type / Status
Subject Main North Line E231156 entity
Predicate terminus P388 FINISHED
Object Picton E410852 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: Picton | Statement: [Main North Line, terminus, Picton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picton
Context triple: [Main North Line, terminus, Picton]
  • A. Picton chosen
    Picton is a small coastal town in New Zealand’s South Island that serves as a major ferry terminal and gateway between the islands.
  • B. Picton
    Picton is a small town in Prince Edward County, Ontario, known as a local hub for visitors exploring nearby parks, wineries, and Lake Ontario beaches.
  • C. La Punta
    La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
  • D. Fish Hoek
    Fish Hoek is a coastal suburb and popular beach town on the False Bay shoreline of Cape Town, South Africa, known for its family-friendly swimming beach and relaxed residential character.
  • E. Port Clements
    Port Clements is a small village on Graham Island in Haida Gwaii, British Columbia, known historically for its forestry industry and access to outdoor recreation.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ca96a48190a6fbe88387be6883 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1616430808190afbe128d3199bf61 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.