Triple

T9192584
Position Surface form Disambiguated ID Type / Status
Subject Juang language E220624 entity
Predicate hasAlternateName P39 FINISHED
Object Juang E783502 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: Juang | Statement: [Juang language, hasAlternateName, Juang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juang
Context triple: [Juang language, hasAlternateName, Juang]
  • A. Juang chosen
    Juang are an indigenous tribal community of eastern India, primarily residing in Odisha and known for their distinct language and cultural traditions.
  • B. Benito Tiamzon
    Benito Tiamzon was a prominent Filipino communist leader and revolutionary, long regarded as a key figure in directing the Communist Party of the Philippines and its armed struggle.
  • C. Juan
    Juan is the given name of Juan Sebastián Elcano, the Spanish explorer who completed the first circumnavigation of the Earth.
  • D. Juan
    Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
  • E. Juan
    Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d5e81c8190b6687999a87fd559 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.