Triple

T19430414
Position Surface form Disambiguated ID Type / Status
Subject Leonidas Jaworski E486094 entity
Predicate placeOfDeath P21 FINISHED
Object Wimberley, Texas 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: Wimberley, Texas | Statement: [Leonidas Jaworski, placeOfDeath, Wimberley, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimberley, Texas
Context triple: [Leonidas Jaworski, placeOfDeath, Wimberley, Texas]
  • A. Wimberley
    Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
  • B. Gilmer, Texas
    Gilmer, Texas is a small East Texas city in Upshur County known for its rural character and annual East Texas Yamboree festival.
  • C. Whitewright, Texas
    Whitewright, Texas is a small rural town in North Texas known for its historic downtown and location within the Sherman–Denison metropolitan area.
  • D. Brownwood, Texas
    Brownwood, Texas is a small central Texas city that serves as a regional hub for commerce, education, and healthcare in the surrounding rural area.
  • E. Wimberley, Texas, United States chosen
    Wimberley, Texas, United States is a small Hill Country town known for its scenic natural springs, cypress-lined rivers, and role as a popular getaway destination near Austin.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321c774881908ba5bde20abd5adc completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.