Triple

T33234937
Position Surface form Disambiguated ID Type / Status
Subject South Dakota State Parks system E850798 entity
Predicate hasPart P35 FINISHED
Object Pease Creek Recreation Area
Pease Creek Recreation Area is a public outdoor recreation site in South Dakota offering activities such as camping, fishing, and boating along the Missouri River.
E2102668 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: Pease Creek Recreation Area | Statement: [South Dakota State Parks system, hasPart, Pease Creek Recreation 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: Pease Creek Recreation Area
Triple: [South Dakota State Parks system, hasPart, Pease Creek Recreation Area]
Generated description
Pease Creek Recreation Area is a public outdoor recreation site in South Dakota offering activities such as camping, fishing, and boating along the Missouri River.

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_69f349613f988190a1eb75467d167122 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6dab0f3ec81909608ce18a498c38a completed May 3, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a373600b37c8190869b397ff500a906 completed June 21, 2026, 12:53 a.m.
NEDg Description generation batch_6a37368f20cc8190890a915e66621f6d completed June 21, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_6a373711fb94819086195281459bb17e completed June 21, 2026, 12:57 a.m.
Created at: May 1, 2026, 1:31 a.m.