Triple

T20754320
Position Surface form Disambiguated ID Type / Status
Subject Mexican Texas E510806 entity
Predicate majorSettlement P316 FINISHED
Object Gonzales 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: Gonzales | Statement: [Mexican Texas, majorSettlement, Gonzales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonzales
Context triple: [Mexican Texas, majorSettlement, Gonzales]
  • A. Gonzales
    Gonzales is a Spanish-origin surname common in the United States and Latin America, borne by numerous notable figures in politics, sports, and the arts.
  • B. Gonzales
    Gonzales is a small city in southeastern Louisiana known as the "Jambalaya Capital of the World" and a regional hub between Baton Rouge and New Orleans.
  • C. Gonzales chosen
    Gonzales is a small agricultural city in California’s Salinas Valley, known for its farming-based economy and rural community character.
  • D. Gonsalez
    Gonsalez is one of the central vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
  • E. Zuniga
    Zuniga is a military officer and Don José’s superior in Bizet’s opera "Carmen," serving as a rival and source of conflict in the story.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22e0d288190ba924423af59d70d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.