Triple

T27430825
Position Surface form Disambiguated ID Type / Status
Subject San Rafael River E690630 entity
Predicate hasPart P35 FINISHED
Object Upper Black Box
Upper Black Box is a remote, narrow sandstone canyon section of the San Rafael River in Utah, popular with canyoneers for its rugged slot-like terrain and challenging water-filled passages.
 E1773985 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: Upper Black Box | Statement: [San Rafael River, hasPart, Upper Black Box]
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: Upper Black Box
Triple: [San Rafael River, hasPart, Upper Black Box]
Generated description
Upper Black Box is a remote, narrow sandstone canyon section of the San Rafael River in Utah, popular with canyoneers for its rugged slot-like terrain and challenging water-filled passages.

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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d59a6e88190a9042398d754c304 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b24eac488190a25d1fec723693f7 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b54f5fe48190b6d5ff48cedf1511 completed May 24, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12b5db2f1c819088f009de0c26ed32 completed May 24, 2026, 8:24 a.m.
Created at: April 27, 2026, 12:42 p.m.