Triple

T27680697
Position Surface form Disambiguated ID Type / Status
Subject Mesa Falls E697898 entity
Predicate accessibleVia P1985 FINISHED
Object Mesa Falls Scenic Byway
Mesa Falls Scenic Byway is a picturesque driving route in eastern Idaho that offers travelers dramatic views of the Upper and Lower Mesa Falls and the surrounding forested canyon.
 E1783322 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: Mesa Falls Scenic Byway | Statement: [Mesa Falls, accessibleVia, Mesa Falls Scenic Byway]
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: Mesa Falls Scenic Byway
Triple: [Mesa Falls, accessibleVia, Mesa Falls Scenic Byway]
Generated description
Mesa Falls Scenic Byway is a picturesque driving route in eastern Idaho that offers travelers dramatic views of the Upper and Lower Mesa Falls and the surrounding forested canyon.

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_69ef590d458c81909583290c3cd0478b completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f635383864819095574ddc05b9a51f completed May 2, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e44f26f88190bd70fa3f8c423226 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e528463c819087d479b960e660d2 completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e58a24a08190baec56a49e9f24e8 completed May 24, 2026, 11:48 a.m.
Created at: April 27, 2026, 2:46 p.m.