Triple

T38652583
Position Surface form Disambiguated ID Type / Status
Subject Adams County, Wisconsin E939796 entity
Predicate hasVillage P4011 FINISHED
Object Petenwell Lake, Wisconsin
Petenwell Lake, Wisconsin is a lakeside community in Adams County known for its recreational access to Petenwell Lake, one of the largest reservoirs in the state.
E2282971 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: Petenwell Lake, Wisconsin | Statement: [Adams County, Wisconsin, hasVillage, Petenwell Lake, Wisconsin]
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: Petenwell Lake, Wisconsin
Triple: [Adams County, Wisconsin, hasVillage, Petenwell Lake, Wisconsin]
Generated description
Petenwell Lake, Wisconsin is a lakeside community in Adams County known for its recreational access to Petenwell Lake, one of the largest reservoirs in the state.

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_69f76ede49648190a48bfe47032a05a3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd9e0931c81908adccacf936f57bc completed May 7, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a42341c2f6c8190b30eb967b8de17d3 completed June 29, 2026, 9 a.m.
NEDg Description generation batch_6a42350660208190b2264d17e363f0a6 completed June 29, 2026, 9:04 a.m.
NED2 Entity disambiguation (via description) batch_6a4236bcf5588190b22327a92c70d411 completed June 29, 2026, 9:11 a.m.
Created at: May 3, 2026, 4:33 p.m.