Triple

T6942473
Position Surface form Disambiguated ID Type / Status
Subject Can Feliz E160710 entity
Predicate relatedWork P37 FINISHED
Object Can Lis E160709 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: Can Lis | Statement: [Can Feliz, relatedWork, Can Lis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Can Lis
Context triple: [Can Feliz, relatedWork, Can Lis]
  • A. Can Lis chosen
    Can Lis is a celebrated cliffside house on the island of Mallorca, designed by Danish architect Jørn Utzon as his own Mediterranean residence and admired for its sculptural integration with the coastal landscape.
  • B. Lisims
    Lisims is the Indigenous Nisga’a name for the Nass River in northwestern British Columbia, Canada.
  • C. Litas
    Litas is the former official currency of Lithuania, used before the country adopted the euro.
  • D. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • E. Lys
    Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da85f43881909549ac26b3db135a completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515bb4688190a81bef732676eb4e completed March 28, 2026, 3:56 a.m.
Created at: March 27, 2026, 2:28 p.m.