Triple

T27423939
Position Surface form Disambiguated ID Type / Status
Subject Vona, Colorado E690425 entity
Predicate geographicFeature P1094 FINISHED
Object Eastern Plains
Eastern Plains refers to the broad, mostly flat and agricultural high plains region that occupies the eastern portion of Colorado.
 E1782462 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: Eastern Plains | Statement: [Vona, Colorado, geographicFeature, Eastern Plains]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eastern Plains
Triple: [Vona, Colorado, geographicFeature, Eastern Plains]
Generated description
Eastern Plains refers to the broad, mostly flat and agricultural high plains region that occupies the eastern portion of Colorado.

Provenance (5 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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d1f4e8481908387bb7c6956460e completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da6fc828819084579ec0a26609a2 completed May 24, 2026, 11:01 a.m.
NEDg Description generation batch_6a12db41934c8190b860473fb4b6c979 completed May 24, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a12dbcfd4588190a6b414466e5bc7cb completed May 24, 2026, 11:06 a.m.
Created at: April 27, 2026, 12:40 p.m.