Triple

T19573603
Position Surface form Disambiguated ID Type / Status
Subject Romeo, Colorado E489788 entity
Predicate county P75 FINISHED
Object Conejos County NE NERFINISHED

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: Conejos County | Statement: [Romeo, Colorado, county, Conejos County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conejos County
Context triple: [Romeo, Colorado, county, Conejos County]
  • A. Conejos County chosen
    Conejos County is a rural county in southern Colorado known for its agricultural communities, historic Hispanic settlements, and location within the high-altitude San Luis Valley.
  • B. Wasco County
    Wasco County is a county in north-central Oregon known for its historic role in regional transportation and agriculture along the Columbia River.
  • C. Plumas County
    Plumas County is a rural, mountainous county in northeastern California known for its forests, lakes, and outdoor recreation within the northern Sierra Nevada.
  • D. Xainza County
    Xainza County is a high-altitude administrative county in the Tibet Autonomous Region of China, located within Nagqu Prefecture and known for its vast grasslands and lakes on the northern Tibetan Plateau.
  • E. Bosque County
    Bosque County is a rural county in central Texas known for its ranching, agriculture, and scenic landscapes along the Bosque River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402333dc8190bdffb1da68e2c76b completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.