Triple

T27123531
Position Surface form Disambiguated ID Type / Status
Subject Art Loeb Trail E687061 entity
Predicate knownFor P22 FINISHED
Object Blue Ridge Mountains vistas
Blue Ridge Mountains vistas are expansive, scenic mountain views characterized by rolling, forested ridgelines and layered blue horizons stretching across the southern Appalachian landscape.
E1756287 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: Blue Ridge Mountains vistas | Statement: [Art Loeb Trail, knownFor, Blue Ridge Mountains vistas]
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: Blue Ridge Mountains vistas
Triple: [Art Loeb Trail, knownFor, Blue Ridge Mountains vistas]
Generated description
Blue Ridge Mountains vistas are expansive, scenic mountain views characterized by rolling, forested ridgelines and layered blue horizons stretching across the southern Appalachian landscape.

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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f624454be48190908449be1be4d1a4 completed May 2, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a124817726c8190bea17e2dccc2bd7c completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a12488822208190aab1355ac3efd2a6 completed May 24, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a124935c01c8190b9d6d13c4f50a104 completed May 24, 2026, 12:41 a.m.
Created at: April 27, 2026, 9 a.m.