Triple

T4942161
Position Surface form Disambiguated ID Type / Status
Subject Mateus E110964 entity
Predicate hasVariant P455 FINISHED
Object Mateos E153306 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: Mateos | Statement: [Mateus, hasVariant, Mateos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mateos
Context triple: [Mateus, hasVariant, Mateos]
  • A. Mateo chosen
    Mateo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the Hebrew name Matthew, meaning "gift of God."
  • B. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • C. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • D. Jorge
    Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70a5f56481908365d0fe16892bf4 completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c19090819084f6b98d22c2b3a0 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:31 p.m.