Triple

T25797212
Position Surface form Disambiguated ID Type / Status
Subject Betatakin E649719 entity
Predicate hasViewOf P854 FINISHED
Object Betatakin Canyon
Betatakin Canyon is a dramatic sandstone canyon in northeastern Arizona that shelters the ancient Ancestral Puebloan cliff dwelling known as Betatakin within Navajo National Monument.
E1812737 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: Betatakin Canyon | Statement: [Betatakin, hasViewOf, Betatakin Canyon]
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: Betatakin Canyon
Triple: [Betatakin, hasViewOf, Betatakin Canyon]
Generated description
Betatakin Canyon is a dramatic sandstone canyon in northeastern Arizona that shelters the ancient Ancestral Puebloan cliff dwelling known as Betatakin within Navajo National Monument.

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_69e7ab34f8c8819099f6c4dabdabf129 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5ffc8635881909f3e05e3903f8d8c completed May 2, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16277ece2481909ab1c9deac3804d8 completed May 26, 2026, 11:06 p.m.
NEDg Description generation batch_6a16287ec0dc81909fd9f5311affa856 completed May 26, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a162912532481909c7d97f033cfe22a completed May 26, 2026, 11:13 p.m.
Created at: April 22, 2026, 6:32 a.m.