Triple

T16348886
Position Surface form Disambiguated ID Type / Status
Subject North Coast E397006 entity
Predicate contains P35 FINISHED
Object Prince Rupert E34717 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: Prince Rupert | Statement: [North Coast, contains, Prince Rupert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Rupert
Context triple: [North Coast, contains, Prince Rupert]
  • A. Prince Rupert chosen
    Prince Rupert is a coastal city in northwestern British Columbia, Canada, known as a major deep-water port and gateway to the Inside Passage and Alaska.
  • B. Prince Rupert of the Rhine
    Prince Rupert of the Rhine was a 17th-century German-English royal prince best known as a charismatic Royalist cavalry commander in the English Civil War and later an admiral, scientist, and early member of the Royal Society.
  • C. William Prince
    William Prince was an American film, stage, and television actor active in the mid-20th century, known for his versatile character roles in Hollywood and on Broadway.
  • D. Charles Prince
    Charles Prince is the son of legendary American theatre director and producer Harold Prince, known for his work as an actor and director in musical theatre.
  • E. Prince Edward
    Prince Edward is the young heir to the English throne who switches places with a poor look-alike boy in Mark Twain’s classic tale of mistaken identity and social inequality.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da10ef64819092633e8b32e98f5d completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db40e0481908d919f2285e48a23 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.