Triple

T27443917
Position Surface form Disambiguated ID Type / Status
Subject Perry Lake E692214 entity
Predicate hasShorelineFeature P6651 FINISHED
Object Perry Wildlife Area
Perry Wildlife Area is a protected natural habitat and public recreation area in Kansas known for its diverse wildlife, hunting, fishing, and birdwatching opportunities.
 E1791772 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: Perry Wildlife Area | Statement: [Perry Lake, hasShorelineFeature, Perry Wildlife Area]
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: Perry Wildlife Area
Triple: [Perry Lake, hasShorelineFeature, Perry Wildlife Area]
Generated description
Perry Wildlife Area is a protected natural habitat and public recreation area in Kansas known for its diverse wildlife, hunting, fishing, and birdwatching opportunities.

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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d9002a08190ba5f034dff23968c completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f702bcdc81909d3092dd1944f480 completed May 24, 2026, 1:02 p.m.
NEDg Description generation batch_6a12fb496c188190abbbcd5200aa5457 completed May 24, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12fbc87d94819097dbb89898b6ba03 completed May 24, 2026, 1:23 p.m.
Created at: April 27, 2026, 12:45 p.m.