Triple

T18081810
Position Surface form Disambiguated ID Type / Status
Subject Mystique E432707 entity
Predicate baseOfOperations P2591 FINISHED
Object Krakoa 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: Krakoa | Statement: [Mystique, baseOfOperations, Krakoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krakoa
Context triple: [Mystique, baseOfOperations, Krakoa]
  • A. Krakoa chosen
    Krakoa is a living, sentient mutant island that serves as the sovereign homeland and central base for Marvel’s mutant population in the X-Men comics.
  • B. Mahorais
    Mahorais is a French-based creole language spoken primarily on the island of Mayotte in the Indian Ocean.
  • C. Arboria
    Arboria is a lush, forested kingdom on the planet Mongo in the Flash Gordon universe, ruled by Prince Barin and known for its treetop cities and dangerous wildlife.
  • D. Genosha
    Genosha is a fictional island nation in Marvel Comics, notorious for its history of mutant enslavement, political upheaval, and catastrophic destruction.
  • E. Ballimaran
    Ballimaran is a historic, densely packed lane in Old Delhi known for its traditional shops, old havelis, and association with the poet Mirza Ghalib.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fb42888190919fe711a281bd7c completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.