Triple

T26135187
Position Surface form Disambiguated ID Type / Status
Subject Karpniki E659358 entity
Predicate locatedNearProtectedArea P855 FINISHED
Object Rudawy Janowickie Landscape Park
Rudawy Janowickie Landscape Park is a protected scenic area in southwestern Poland known for its distinctive rock formations, forested hills, and rich biodiversity.
E1720300 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: Rudawy Janowickie Landscape Park | Statement: [Karpniki, locatedNearProtectedArea, Rudawy Janowickie Landscape Park]
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: Rudawy Janowickie Landscape Park
Triple: [Karpniki, locatedNearProtectedArea, Rudawy Janowickie Landscape Park]
Generated description
Rudawy Janowickie Landscape Park is a protected scenic area in southwestern Poland known for its distinctive rock formations, forested hills, and rich biodiversity.

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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60b96c1ac8190adc0ceb44507777e completed May 2, 2026, 2:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a3e158c819084464abaa93db4ca completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119b2be6d481909c7ab1a8ee3f20fe completed May 23, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a119ba6270881908b5a151d25fb79d8 completed May 23, 2026, 12:20 p.m.
Created at: April 26, 2026, 8:17 p.m.