Triple

T5668878
Position Surface form Disambiguated ID Type / Status
Subject Dothan E124923 entity
Predicate county P75 FINISHED
Object Houston County E173939 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: Houston County | Statement: [Dothan, county, Houston County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston County
Context triple: [Dothan, county, Houston County]
  • A. Houston County
    Houston County is a county in central Georgia known for its mix of suburban communities, military presence near Robins Air Force Base, and role as a regional economic and transportation hub.
  • B. Houston County chosen
    Houston County is a county in southeastern Alabama known for its seat in Dothan and its role as a regional hub for agriculture and commerce.
  • C. Greenwood County
    Greenwood County is a county in western South Carolina known for its mix of small-city life, manufacturing, and agricultural communities centered around the city of Greenwood.
  • D. Blanco County
    Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
  • E. Limestone County
    Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0234891d48190bf662f38ef84d4f3 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a14f02e88190824efb80215be616 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:43 p.m.