Triple

T21235745
Position Surface form Disambiguated ID Type / Status
Subject Highway 1 (British Columbia) E523338 entity
Predicate passesThrough P225 FINISHED
Object Malahat 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: Malahat | Statement: [Highway 1 (British Columbia), passesThrough, Malahat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malahat
Context triple: [Highway 1 (British Columbia), passesThrough, Malahat]
  • A. Malahat chosen
    Malahat is a small community on southern Vancouver Island in British Columbia, Canada, known for its scenic mountain highway and views over Saanich Inlet.
  • B. Malakula
    Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
  • C. Katastari
    Katastari is a village on the Greek island of Zakynthos, located inland near the coastal resort area of Alykes.
  • D. Sadyba
    Sadyba is a residential neighborhood in Warsaw, Poland, known for its quiet streets, greenery, and mix of modern housing with historic villas.
  • E. Harsiyyet
    Harsiyyet is an alternative name for the Harsusi language, a Modern South Arabian language spoken by a small community in Oman.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7351f0e988190bb77b598cb8a9532 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.