Triple

T12477007
Position Surface form Disambiguated ID Type / Status
Subject Jesús María E298199 entity
Predicate festivalLocation P26210 FINISHED
Object Jesús María E298199 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: Jesús María | Statement: [Jesús María, festivalLocation, Jesús María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesús María
Context triple: [Jesús María, festivalLocation, Jesús María]
  • A. Jesús María
    Jesús María is a municipality in the Mexican state of Aguascalientes, known for its growing urban area and integration into the metropolitan region of the state capital.
  • B. Jesús María chosen
    Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
  • C. Jesús María
    Jesús María is a small city in the Los Altos region of Jalisco, Mexico, known for its traditional Mexican culture and agricultural surroundings.
  • D. Jesús
    Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
  • E. Santiago Apóstol
    Santiago Apóstol, also known as Saint James the Apostle, is a principal Christian apostle venerated as the patron saint of Spain and traditionally associated with pilgrimage to Santiago de Compostela.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcc24e48190ae9c367a03f659f4 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f25462881908dccb831b474875d completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.