Triple

T20084260
Position Surface form Disambiguated ID Type / Status
Subject Klingon Empire E500081 entity
Predicate region P40 FINISHED
Object Beta Quadrant 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: Beta Quadrant | Statement: [Klingon Empire, region, Beta Quadrant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beta Quadrant
Context triple: [Klingon Empire, region, Beta Quadrant]
  • A. Beta Quadrant chosen
    The Beta Quadrant is one of the four major regions of the Milky Way galaxy in the Star Trek universe, home to powers like the Klingon and Romulan Empires and frequently associated with Borg activity.
  • B. Beta
    Beta is an object-oriented programming language known for its powerful abstraction mechanisms and influence on later language design, particularly in the Scandinavian school of object-orientation.
  • C. Beta
    Beta is a genus of flowering plants in the amaranth family that includes beets such as sugar beet, beetroot, and chard.
  • D. Beta
    Beta is a prominent antagonist in The Walking Dead universe, known as the brutal and enigmatic second-in-command of the Whisperers.
  • E. Quadrant
    Quadrant is the codename for a specific iteration of the Quadrant Conference, a professional gathering focused on technology, innovation, and industry collaboration.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655a2d2c81908a6b8fd2f209a825 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.