Triple

T27228486
Position Surface form Disambiguated ID Type / Status
Subject Germany Valley E682081 entity
Predicate hasCave P10755 FINISHED
Object Germany Valley Cave System
Germany Valley Cave System is an extensive karst cave network in Pendleton County, West Virginia, known for its complex passages, significant depth, and popularity among experienced cavers.
E1759484 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: Germany Valley Cave System | Statement: [Germany Valley, hasCave, Germany Valley Cave System]
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: Germany Valley Cave System
Triple: [Germany Valley, hasCave, Germany Valley Cave System]
Generated description
Germany Valley Cave System is an extensive karst cave network in Pendleton County, West Virginia, known for its complex passages, significant depth, and popularity among experienced cavers.

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_69eefacdad7881908b7bca61c90a1a1e completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6264c916881908d1665c25754b1e9 completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253b317508190866d7c99a4936046 completed May 24, 2026, 1:26 a.m.
NEDg Description generation batch_6a1254e8f94881908407699a6fb433b9 completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a125570e034819080d1b31fe17df8ba completed May 24, 2026, 1:33 a.m.
Created at: April 27, 2026, 9:45 a.m.