Triple

T24354028
Position Surface form Disambiguated ID Type / Status
Subject Grandfather Mountain E613871 entity
Predicate hasRoadAccess P385 FINISHED
Object NC Highway 105
NC Highway 105 is a primary state highway in North Carolina that connects the mountain communities around Boone and Linville, serving as a key route through the High Country region.
 E1657173 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: NC Highway 105 | Statement: [Grandfather Mountain, hasRoadAccess, NC Highway 105]
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: NC Highway 105
Triple: [Grandfather Mountain, hasRoadAccess, NC Highway 105]
Generated description
NC Highway 105 is a primary state highway in North Carolina that connects the mountain communities around Boone and Linville, serving as a key route through the High Country region.

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_69e2d7ddd29481909e7f539a6072bd71 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2934732908190a50e69f492a5dc7a completed April 29, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1032dd6864819089e928f1b5d4438b completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a10341e764c819083c10e4d151da1c6 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034cf890881908bd25523cdb83586 completed May 22, 2026, 10:49 a.m.
Created at: April 18, 2026, 1:59 a.m.