Triple

T20894398
Position Surface form Disambiguated ID Type / Status
Subject Lake Park, Iowa E514492 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Dixon County, Iowa
Dixon County, Iowa is a rural county in the northwestern part of the state known for its small agricultural communities and proximity to the Iowa Great Lakes region.
E2290428 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: Dixon County, Iowa | Statement: [Lake Park, Iowa, locatedInAdministrativeTerritory, Dixon County, Iowa]
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: Dixon County, Iowa
Triple: [Lake Park, Iowa, locatedInAdministrativeTerritory, Dixon County, Iowa]
Generated description
Dixon County, Iowa is a rural county in the northwestern part of the state known for its small agricultural communities and proximity to the Iowa Great Lakes region.

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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d06129788190b88ab807af4641c1 completed April 21, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5bcaf63e108190b9256a5e35b0d846 completed July 18, 2026, 6:50 p.m.
NEDg Description generation batch_6a5bcb5f81d48190bd7e361694617ff3 completed July 18, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_6a5bcc85c4c08190b82bb4a52a397e69 completed July 18, 2026, 6:57 p.m.
Created at: April 16, 2026, 12:46 p.m.