Triple

T38652575
Position Surface form Disambiguated ID Type / Status
Subject Adams County, Wisconsin E939796 entity
Predicate hasVillage P4011 FINISHED
Object Friendship Lake, Wisconsin
Friendship Lake, Wisconsin is a small unincorporated community in Adams County known for its proximity to the man-made Friendship Lake and its surrounding recreational areas.
E2280043 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: Friendship Lake, Wisconsin | Statement: [Adams County, Wisconsin, hasVillage, Friendship 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: Friendship Lake, Wisconsin
Triple: [Adams County, Wisconsin, hasVillage, Friendship Lake, Wisconsin]
Generated description
Friendship Lake, Wisconsin is a small unincorporated community in Adams County known for its proximity to the man-made Friendship Lake and its surrounding recreational areas.

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_6a41fd5cd81481909aa13760eac21e46 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fe3f00d08190ae597e4266b901ee completed June 29, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a41fef909448190bb059bf9b7f7e5c6 completed June 29, 2026, 5:13 a.m.
Created at: May 3, 2026, 4:33 p.m.