Triple

T13120386
Position Surface form Disambiguated ID Type / Status
Subject Mushroom World E311703 entity
Predicate hasPart P35 FINISHED
Object Subcon E310942 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: Subcon | Statement: [Mushroom World, hasPart, Subcon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subcon
Context triple: [Mushroom World, hasPart, Subcon]
  • A. Subcon chosen
    Subcon is the dreamlike fantasy world that serves as the primary backdrop for the video game Super Mario Bros. 2.
  • B. SUB
    SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
  • C. CONSOB
    CONSOB is Italy’s national securities and financial markets regulator, overseeing the transparency and proper functioning of the country’s stock exchanges and investment services.
  • D. subant
    subant is an Apache Ant task that allows one build script to invoke and control other Ant build files as part of a larger build process.
  • E. Subsurface
    Subsurface is an open-source dive log and planning software application originally developed by Linux creator Linus Torvalds for recreational and technical scuba divers.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e286de608190bf46af2eb656bb79 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.