Triple

T17478166
Position Surface form Disambiguated ID Type / Status
Subject UFO Restaurant E425590 entity
Predicate name P16 FINISHED
Object UFO Restaurant 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: UFO Restaurant | Statement: [UFO Restaurant, name, UFO Restaurant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UFO Restaurant
Context triple: [UFO Restaurant, name, UFO Restaurant]
  • A. UFO Restaurant chosen
    UFO Restaurant is a distinctive, saucer-shaped dining venue and observation deck located atop the UFO Bridge in Bratislava, Slovakia, offering panoramic views of the city and the Danube River.
  • B. T-Rex Cafe
    T-Rex Cafe is a dinosaur-themed family restaurant and entertainment venue known for its prehistoric decor, animatronic creatures, and interactive dining experience.
  • C. Rocket Café
    Rocket Café is a space-themed quick-service restaurant located in Discoveryland at Disneyland Paris, known for its futuristic decor and casual dining options.
  • D. Okryu Restaurant
    Okryu Restaurant is a famous traditional Korean dining establishment in Pyongyang, North Korea, renowned for its cold noodles (naengmyeon) and riverside setting.
  • E. 360 Restaurant
    360 Restaurant is a revolving fine-dining restaurant located atop Toronto’s CN Tower, offering panoramic city and lake views.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.