Triple

T22648798
Position Surface form Disambiguated ID Type / Status
Subject Seguin, Texas, United States E559039 entity
Predicate namedAfter P63 FINISHED
Object Juan Seguín 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: Juan Seguín | Statement: [Seguin, Texas, United States, namedAfter, Juan Seguín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Seguín
Context triple: [Seguin, Texas, United States, namedAfter, Juan Seguín]
  • A. Juan Seguín chosen
    Juan Seguín was a prominent Tejano political and military leader who fought in the Texas Revolution and later served as a senator and mayor in the Republic of Texas.
  • B. James Fannin
    James Fannin was a 19th-century American-born Texian military leader best known for his role in the Texas Revolution and his execution following the Goliad Massacre.
  • C. Samuel Fannin
    Samuel Fannin is a person notable enough to be recognized as a bearer of the surname Fannin.
  • D. Richard Fannin
    Richard Fannin is an alias used by Randall Flagg, the recurring demonic antagonist in several of Stephen King’s novels.
  • E. Martín De León
    Martín De León was a Mexican empresario and rancher who established one of the earliest Tejano colonies in Texas and played a key role in the region’s early settlement.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703a84b081909a683f8c850dcbf9 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.