Triple

T9543538
Position Surface form Disambiguated ID Type / Status
Subject Shattuck E230222 entity
Predicate county P75 FINISHED
Object Ellis County E364565 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: Ellis County | Statement: [Shattuck, county, Ellis County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellis County
Context triple: [Shattuck, county, Ellis County]
  • A. Ellis County chosen
    Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
  • B. Ellis County
    Ellis County is a county in western Kansas known for its agricultural economy, small communities, and location along major transportation routes like Interstate 70.
  • C. Ellis County
    Ellis County is a county in north-central Texas known for its rapidly growing communities, historic towns, and proximity to the Dallas–Fort Worth metropolitan area.
  • D. Randall County
    Randall County is a county in the Texas Panhandle region, known for including part of the city of Amarillo and featuring a mix of urban and rural High Plains landscapes.
  • E. Donley County
    Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6bb34548190aac9d2af05477750 completed April 12, 2026, 3:14 p.m.
Created at: March 30, 2026, 8:01 p.m.