Triple

T23643010
Position Surface form Disambiguated ID Type / Status
Subject Keith County, Nebraska E583950 entity
Predicate containsUnincorporatedCommunity P6345 FINISHED
Object Belmar, Nebraska
Belmar, Nebraska is a small unincorporated community located in Keith County in western Nebraska, known for its rural setting near Lake McConaughy.
E1680153 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: Belmar, Nebraska | Statement: [Keith County, Nebraska, containsUnincorporatedCommunity, Belmar, Nebraska]
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: Belmar, Nebraska
Triple: [Keith County, Nebraska, containsUnincorporatedCommunity, Belmar, Nebraska]
Generated description
Belmar, Nebraska is a small unincorporated community located in Keith County in western Nebraska, known for its rural setting near Lake McConaughy.

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_69e248fefafc81909656921192f30e80 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b2821cb881909b1ab77aa77208e0 completed April 29, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108946065c8190a084764180ca30fc completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108b13f26c81908a4d0ea4bdfa605c completed May 22, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_6a108b8ea6908190b8f6887610e5d6a3 completed May 22, 2026, 4:59 p.m.
Created at: April 17, 2026, 6:48 p.m.