Triple

T10194043
Position Surface form Disambiguated ID Type / Status
Subject Magneto E238113 entity
Predicate baseOfOperations P2591 FINISHED
Object Genosha E780873 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: Genosha | Statement: [Magneto, baseOfOperations, Genosha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genosha
Context triple: [Magneto, baseOfOperations, Genosha]
  • A. Genosha chosen
    Genosha is a fictional island nation in Marvel Comics, notorious for its history of mutant enslavement, political upheaval, and catastrophic destruction.
  • B. Sokovia
    Sokovia is a fictional Eastern European country in the Marvel Cinematic Universe, known primarily as the site of the catastrophic events in Avengers: Age of Ultron and their political aftermath.
  • C. Turania
    Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
  • D. Wakanda
    Wakanda is a technologically advanced, fictional African nation in the Marvel universe, renowned as the home of Black Panther and the source of the metal vibranium.
  • E. Jamuria
    Jamuria is a coal-mining town in West Bengal, India, situated within the Raniganj coalfield region.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317d3c1bc8190811b809aaf93a754 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:13 p.m.