Triple

T38384564
Position Surface form Disambiguated ID Type / Status
Subject Ash River E899542 entity
Predicate hasAccessPoint P1985 FINISHED
Object Ash River Visitor area
Ash River Visitor area is a recreational access point and visitor facility along the Ash River that serves as a gateway for outdoor activities such as boating, fishing, and wildlife viewing.
 E2268634 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: Ash River Visitor area | Statement: [Ash River, hasAccessPoint, Ash River Visitor area]
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: Ash River Visitor area
Triple: [Ash River, hasAccessPoint, Ash River Visitor area]
Generated description
Ash River Visitor area is a recreational access point and visitor facility along the Ash River that serves as a gateway for outdoor activities such as boating, fishing, and wildlife viewing.

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_69f76e5c9b808190b486523f5c2f817d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd1a6dfc819096e4d69beba95b9f completed May 7, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b2aacfa481909cdecdc9306f4332 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b34d3cbc8190a1b9a0a75783c568 completed June 28, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_6a41b52293148190ac9311da24bbbd7b completed June 28, 2026, 11:58 p.m.
Created at: May 3, 2026, 4:31 p.m.