Triple

T20754318
Position Surface form Disambiguated ID Type / Status
Subject Mexican Texas E510806 entity
Predicate majorSettlement P316 FINISHED
Object Nacogdoches 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: Nacogdoches | Statement: [Mexican Texas, majorSettlement, Nacogdoches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nacogdoches
Context triple: [Mexican Texas, majorSettlement, Nacogdoches]
  • A. Nacogdoches, Texas chosen
    Nacogdoches, Texas is a historic East Texas city often regarded as the oldest town in the state and known for its early role in Texas history.
  • B. San Antonio de Béxar
    San Antonio de Béxar was a historic Spanish colonial settlement in present-day Texas that became a key military and political center, later evolving into the modern city of San Antonio.
  • C. Cotulla
    Cotulla is a small city in La Salle County, Texas, known historically as a ranching and oilfield service center in the South Texas region.
  • D. Saltillo
    Saltillo is the capital and largest city of the state of Coahuila in northeastern Mexico, known for its industrial economy and traditional sarape textiles.
  • E. Corsicana
    Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
  • 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.