Triple

T26864061
Position Surface form Disambiguated ID Type / Status
Subject Hermit Trail E676415 entity
Predicate passesThrough P225 FINISHED
Object Tonto Group
The Tonto Group is a sequence of Cambrian-age sedimentary rock formations in the Grand Canyon region, notable for forming the broad Tonto Platform and preserving early marine fossils.
E1744890 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: Tonto Group | Statement: [Hermit Trail, passesThrough, Tonto Group]
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: Tonto Group
Triple: [Hermit Trail, passesThrough, Tonto Group]
Generated description
The Tonto Group is a sequence of Cambrian-age sedimentary rock formations in the Grand Canyon region, notable for forming the broad Tonto Platform and preserving early marine fossils.

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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61e961a7c81908c3a7f6aebaf1242 completed May 2, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12135a48188190bd5e09a474154230 completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a1215f7b4188190a5b8ded0b634f0bf completed May 23, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_6a121699a8448190b7fbf43f6f572ce4 completed May 23, 2026, 9:05 p.m.
Created at: April 27, 2026, 5:27 a.m.