Triple

T29845095
Position Surface form Disambiguated ID Type / Status
Subject Rainbow Forest picnic area E757907 entity
Predicate partOf P40 FINISHED
Object Rainbow Forest area
The Rainbow Forest area is a scenic section of Petrified Forest National Park in Arizona, known for its dense concentration of colorful petrified wood, hiking trails, and visitor facilities.
E1888082 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: Rainbow Forest area | Statement: [Rainbow Forest picnic area, partOf, Rainbow Forest 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: Rainbow Forest area
Triple: [Rainbow Forest picnic area, partOf, Rainbow Forest area]
Generated description
The Rainbow Forest area is a scenic section of Petrified Forest National Park in Arizona, known for its dense concentration of colorful petrified wood, hiking trails, and visitor facilities.

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_69f224593f6c81908785a560fe659f58 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6760cbbcc81908cb6522f8eb38000 completed May 2, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e60ddedc8190bb9dfeffc43f1a39 completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e76004e481909bdb043e44f6793b completed June 8, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_6a26e95fdb988190b44badca8f846296 completed June 8, 2026, 4:10 p.m.
Created at: April 29, 2026, 5:41 p.m.