Triple

T15646439
Position Surface form Disambiguated ID Type / Status
Subject Guadalupe County E376188 entity
Predicate contains P35 FINISHED
Object Schertz E424798 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: Schertz | Statement: [Guadalupe County, contains, Schertz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schertz
Context triple: [Guadalupe County, contains, Schertz]
  • A. Schertz chosen
    Schertz is a suburban city in the San Antonio metropolitan area known for its family-friendly neighborhoods and proximity to major military installations in south-central Texas.
  • B. Bulverde
    Bulverde is a small city in the Texas Hill Country known for its semi-rural character and proximity to San Antonio.
  • C. Braunfels
    Braunfels is a historic spa and castle town in the German state of Hesse, known for its well-preserved medieval old town and hilltop Braunfels Castle.
  • D. New Braunfels
    New Braunfels is a historic central Texas city known for its German heritage, river recreation on the Comal and Guadalupe, and location between Austin and San Antonio.
  • E. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.