Triple

T24288641
Position Surface form Disambiguated ID Type / Status
Subject Wilson State Park E605746 entity
Predicate partOf P40 FINISHED
Object Wilson Lake State Park complex
Wilson Lake State Park complex is a recreational area in Kansas centered around Wilson Lake, offering camping, boating, fishing, hiking, and other outdoor activities across multiple park units.
E1650195 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: Wilson Lake State Park complex | Statement: [Wilson State Park, partOf, Wilson Lake State Park complex]
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: Wilson Lake State Park complex
Triple: [Wilson State Park, partOf, Wilson Lake State Park complex]
Generated description
Wilson Lake State Park complex is a recreational area in Kansas centered around Wilson Lake, offering camping, boating, fishing, hiking, and other outdoor activities across multiple park units.

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_69e295480d0c8190846fc3c2e2da1d4c completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28f5908e08190a9f150df924a7160 completed April 29, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a101bd38d288190b185db09f18d34f4 completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a1023488c948190bd2b15038e087886 completed May 22, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a10245dd05481909024cdeecaabcd20 completed May 22, 2026, 9:39 a.m.
Created at: April 18, 2026, 12:08 a.m.