Triple

T24071818
Position Surface form Disambiguated ID Type / Status
Subject Fort Valley, Virginia E596251 entity
Predicate hasTrailAccess P1017 FINISHED
Object Massanutten Trail
The Massanutten Trail is a long-distance loop hiking trail in Virginia’s George Washington National Forest, known for its rugged terrain, scenic ridgeline views, and popularity among backpackers and trail runners.
E1621100 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: Massanutten Trail | Statement: [Fort Valley, Virginia, hasTrailAccess, Massanutten Trail]
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: Massanutten Trail
Triple: [Fort Valley, Virginia, hasTrailAccess, Massanutten Trail]
Generated description
The Massanutten Trail is a long-distance loop hiking trail in Virginia’s George Washington National Forest, known for its rugged terrain, scenic ridgeline views, and popularity among backpackers and trail runners.

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_69e288c3999c8190809b282a04813dec completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1db1aad248190a1d25c64cc5016eb completed April 29, 2026, 10:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad0b67e48190aed8afb1f6b46431 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae6318c8819099bf0565a01b5312 completed May 22, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf073c088190bbf21e4dd0434fc1 completed May 22, 2026, 1:19 a.m.
Created at: April 17, 2026, 10:41 p.m.