Triple

T21730241
Position Surface form Disambiguated ID Type / Status
Subject Lost City E536384 entity
Predicate hasRide P30385 FINISHED
Object Vortex 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: Vortex | Statement: [Lost City, hasRide, Vortex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vortex
Context triple: [Lost City, hasRide, Vortex]
  • A. Vortex chosen
    Vortex is a spinning pendulum thrill ride at Thorpe Park known for its intense swinging and rotating motion.
  • B. Vortex
    Vortex is a 2021 French drama film by Gaspar Noé that portrays an elderly couple’s harrowing descent into dementia and decline through an experimental split-screen narrative.
  • C. Vortex
    Vortex is a fictional character from the Transformers franchise, typically depicted as a Decepticon Combaticon who transforms into a military helicopter and specializes in aerial combat and interrogation.
  • D. Vortex
    Vortex is a novel in the Star Wars: Fate of the Jedi series that continues the post–Yuuzhan Vong War storyline in the expanded universe.
  • E. Vortex
    Vortex is the high-performance CPU core microarchitecture used in Apple’s A12X Bionic system-on-chip for iPad Pro devices.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd064fcc819084852b4248f65a81 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.