Triple

T25295379
Position Surface form Disambiguated ID Type / Status
Subject Oconaluftee River E634201 entity
Predicate hasMajorTributary P415 FINISHED
Object Raven Fork
Raven Fork is a mountain stream in the Great Smoky Mountains of North Carolina known for its clear, fast-flowing waters and popularity for trout fishing and whitewater recreation.
E1700572 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: Raven Fork | Statement: [Oconaluftee River, hasMajorTributary, Raven Fork]
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: Raven Fork
Triple: [Oconaluftee River, hasMajorTributary, Raven Fork]
Generated description
Raven Fork is a mountain stream in the Great Smoky Mountains of North Carolina known for its clear, fast-flowing waters and popularity for trout fishing and whitewater recreation.

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_69e75a9503d48190b80a005c6af0cb50 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f48fd1d1c08190ba007255d4527a6d completed May 1, 2026, 11:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec8508dc8190a7c38a9ebea0a2d4 completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10edc67f448190b6f8da9b63fd6759 completed May 22, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a10ef3e35188190806530f76d78e331 completed May 23, 2026, 12:05 a.m.
Created at: April 21, 2026, 1:22 p.m.