Triple

T20310996
Position Surface form Disambiguated ID Type / Status
Subject Pikeville Cut-Through E510240 entity
Predicate cutThrough P56986 FINISHED
Object Peach Orchard Mountain
Peach Orchard Mountain is a prominent landform in Pikeville, Kentucky, that was partially excavated during the massive Pikeville Cut-Through civil engineering project.
 E1686909 NE FINISHED

How this triple was built (3 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: Peach Orchard Mountain | Statement: [Pikeville Cut-Through, cutThrough, Peach Orchard Mountain]
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: Peach Orchard Mountain
Triple: [Pikeville Cut-Through, cutThrough, Peach Orchard Mountain]
Generated description
Peach Orchard Mountain is a prominent landform in Pikeville, Kentucky, that was partially excavated during the massive Pikeville Cut-Through civil engineering project.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: cutThrough
Context triple: [Pikeville Cut-Through, cutThrough, Peach Orchard Mountain]
  • A. cutOff
    Indicates that one entity causes another entity to be disconnected, interrupted, or severed from a source, flow, or continuation.
  • B. crossCut chosen
    Indicates that one entity intersects or passes through another, typically cutting across it from one side to the other.
  • C. cutBy
    Indicates that one entity is divided, severed, or shaped as a result of another entity performing a cutting action on it.
  • D. cutDown
    Indicates that an agent causes something standing or elevated (such as a tree or structure) to fall or be reduced by cutting.
  • E. passesUnder
    Indicates that one entity moves or extends beneath another entity, typically crossing below it without direct contact.
  • F. None of above.

Provenance (6 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677441f9c8190acf98dc92c77732b completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b6f49d588190960982c7aead9b7b completed May 22, 2026, 8:05 p.m.
NEDg Description generation batch_6a10b84949448190ba06c85d0f19215b completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69e55b21b09081909e46691b6f45a07f completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 11:19 a.m.