Triple

T6055118
Position Surface form Disambiguated ID Type / Status
Subject San Marcos E134889 entity
Predicate locatedIn P40 FINISHED
Object Guadalupe County E376188 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: Guadalupe County | Statement: [San Marcos, locatedIn, Guadalupe County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadalupe County
Context triple: [San Marcos, locatedIn, Guadalupe County]
  • A. Guadalupe County chosen
    Guadalupe County is a county in south-central Texas that includes rapidly growing suburban and rural communities east of San Antonio.
  • B. Guadalupe County
    Guadalupe County is a rural county in eastern New Mexico known for its historic Route 66 towns, ranching landscapes, and Southwestern desert scenery.
  • C. Cameron County
    Cameron County is a sparsely populated, heavily forested rural county in north-central Pennsylvania known for its outdoor recreation and wildlife.
  • D. Atascosa County
    Atascosa County is a largely rural county in southern Texas known for its agricultural economy and proximity to the San Antonio metropolitan area.
  • E. Uvalde County
    Uvalde County is a largely rural county in south-central Texas known for its ranching, hunting, and proximity to the Texas Hill Country and Edwards Plateau regions.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81e93671481909555acbc8a712930 completed March 28, 2026, 6:31 p.m.
Created at: March 22, 2026, 4:09 p.m.