Triple

T20294972
Position Surface form Disambiguated ID Type / Status
Subject To Venus and Back E510121 entity
Predicate track P17929 FINISHED
Object Juárez 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: Juárez | Statement: [To Venus and Back, track, Juárez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juárez
Context triple: [To Venus and Back, track, Juárez]
  • A. Juárez chosen
    Juárez is a major Mexican border city in the state of Chihuahua, located across the Rio Grande from El Paso, Texas, and known for its manufacturing industry and strategic trade position.
  • B. Juárez
    Juárez is a Mexico City Metro station on Line 3 located near the historic center, serving the bustling Juárez neighborhood and surrounding commercial areas.
  • C. Juarez
    Juarez is a 1939 historical drama film depicting the conflict between Mexican President Benito Juárez and Emperor Maximilian I during the French intervention in Mexico.
  • D. Benito Juárez, Guerrero
    Benito Juárez, Guerrero is a coastal municipality in southwestern Mexico known for its beaches and tourism along the Costa Grande region of the state of Guerrero.
  • E. Madero
    Madero is a Spanish-origin surname notably associated with Mexican revolutionary leader and president Francisco I. Madero.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:13 a.m.