Triple

T30743151
Position Surface form Disambiguated ID Type / Status
Subject Thousand Springs State Park E782744 entity
Predicate composedOfUnit P11709 FINISHED
Object Box Canyon Unit
Box Canyon Unit is a scenic section of Idaho’s Thousand Springs State Park known for its deep basalt canyon, clear springs, and hiking trails.
 E1928393 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: Box Canyon Unit | Statement: [Thousand Springs State Park, composedOfUnit, Box Canyon Unit]
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: Box Canyon Unit
Triple: [Thousand Springs State Park, composedOfUnit, Box Canyon Unit]
Generated description
Box Canyon Unit is a scenic section of Idaho’s Thousand Springs State Park known for its deep basalt canyon, clear springs, and hiking trails.

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_69f224aeb1588190897d395e8ed2acb8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f7c1bff1088190ae868a3222e53506 completed May 3, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28991cad2c81908e1b61e1c80555ca completed June 9, 2026, 10:52 p.m.
NEDg Description generation batch_6a2899f4a9488190a4ef4d96ec795595 completed June 9, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_6a289ac7f570819094b7940133c5ac52 completed June 9, 2026, 10:59 p.m.
Created at: April 29, 2026, 8:38 p.m.