Triple

T17003424
Position Surface form Disambiguated ID Type / Status
Subject Hunza E412505 entity
Predicate hasAttraction P105 FINISHED
Object Passu Cones E52707 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: Passu Cones | Statement: [Hunza, hasAttraction, Passu Cones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passu Cones
Context triple: [Hunza, hasAttraction, Passu Cones]
  • A. Passu Cones chosen
    Passu Cones are a striking group of sharply pointed mountain peaks in Pakistan’s Hunza Valley, renowned for their dramatic, jagged skyline within the Karakoram range.
  • B. Five Cones
    Five Cones is a large-scale sculptural artwork by Ursula von Rydingsvard, exemplifying her signature use of monumental, textured forms.
  • C. Giant Cone
    Giant Cone is a popular Japanese ice cream brand known for its large, cone-shaped treats produced by Ezaki Glico.
  • D. Cone
    Cone is a small unincorporated rural community located in Crosby County in the U.S. state of Texas.
  • E. Cone
    Cone is a surname most notably associated with David Cone, a former Major League Baseball pitcher and five-time World Series champion.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37f8ba88190b8d32a1d09b6e6fd completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc2035848190bf299875d37c8ac7 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.