Triple

T4443507
Position Surface form Disambiguated ID Type / Status
Subject Newsqueak E96225 entity
Predicate relatedTo P37 FINISHED
Object Limbo E96226 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: Limbo | Statement: [Newsqueak, relatedTo, Limbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limbo
Context triple: [Newsqueak, relatedTo, Limbo]
  • A. Limbo chosen
    Limbo is a critically acclaimed 2010 indie puzzle-platform video game known for its monochromatic art style, eerie atmosphere, and physics-based environmental puzzles.
  • B. Limbo
    Limbo is a critically acclaimed 2020 hip-hop album by American rapper Aminé that blends introspective lyricism with vibrant, melodic production.
  • C. Descent into Limbo
    Descent into Limbo is a large-scale installation artwork by Anish Kapoor featuring a seemingly bottomless black void that challenges viewers’ perception of depth and space.
  • D. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • E. Figment
    Figment is a small purple dragon from Disney's Epcot theme park, known as the playful embodiment of imagination in the Journey Into Imagination attraction.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355b052688190a0d8e5912f82151c completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.