Triple

T24769050
Position Surface form Disambiguated ID Type / Status
Subject Land of Waterfalls E619668 entity
Predicate hasNotableWaterfall P13549 FINISHED
Object Moore Cove Falls
Moore Cove Falls is a picturesque, delicate waterfall in Pisgah National Forest near Brevard, North Carolina, known for its easy hiking access and the ability to walk behind its overhanging cascade.
E1741969 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: Moore Cove Falls | Statement: [Land of Waterfalls, hasNotableWaterfall, Moore Cove Falls]
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: Moore Cove Falls
Triple: [Land of Waterfalls, hasNotableWaterfall, Moore Cove Falls]
Generated description
Moore Cove Falls is a picturesque, delicate waterfall in Pisgah National Forest near Brevard, North Carolina, known for its easy hiking access and the ability to walk behind its overhanging cascade.

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_69e2fabd04488190a2d13c97be745a2d completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410a8dc8081909e2f4b65485a6786 completed May 1, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12090e548c81909177040e13c3f300 completed May 23, 2026, 8:07 p.m.
NEDg Description generation batch_6a120a2acf54819094d2f16637877bb7 completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120b0591e0819080d57a6f01e4128b completed May 23, 2026, 8:16 p.m.
Created at: April 18, 2026, 4:29 a.m.