Triple

T15646440
Position Surface form Disambiguated ID Type / Status
Subject Guadalupe County E376188 entity
Predicate contains P35 FINISHED
Object Cibolo E422422 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: Cibolo | Statement: [Guadalupe County, contains, Cibolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cibolo
Context triple: [Guadalupe County, contains, Cibolo]
  • A. Cibolo chosen
    Cibolo is a growing suburban city in the San Antonio metropolitan area of south-central Texas, known for its family-oriented communities and proximity to major military and employment centers.
  • B. Cibolo Creek
    Cibolo Creek is a stream in south-central Texas that flows through the San Antonio area and contributes to the San Antonio River watershed.
  • C. Sierra Blanca
    Sierra Blanca is a mountain range in southern Spain that forms part of the coastal mountains near Marbella in Andalusia.
  • D. Claro River Valley
    Claro River Valley is a Chilean wine-producing subregion within the Maule Valley, known for its diverse terroir and production of both red and white varietals.
  • E. Concho River
    The Concho River is a river in West Texas that flows through the city of San Angelo and ultimately joins the Colorado River of Texas, contributing to the region’s water supply and recreation.
  • 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.