Triple

T28546457
Position Surface form Disambiguated ID Type / Status
Subject Una National Park E722452 entity
Predicate alsoIncludesRiver P165 FINISHED
Object Krka River (Bosnia and Herzegovina)
The Krka River in Bosnia and Herzegovina is a scenic waterway in the country’s northwest, known for its clear waters, natural landscapes, and role in regional biodiversity.
E1898613 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: Krka River (Bosnia and Herzegovina) | Statement: [Una National Park, alsoIncludesRiver, Krka River (Bosnia and Herzegovina)]
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: Krka River (Bosnia and Herzegovina)
Triple: [Una National Park, alsoIncludesRiver, Krka River (Bosnia and Herzegovina)]
Generated description
The Krka River in Bosnia and Herzegovina is a scenic waterway in the country’s northwest, known for its clear waters, natural landscapes, and role in regional 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_69f01a5e42348190b1ffbca26e739c84 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f651b12a2c81908b2c9f70d7542c89 completed May 2, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2742f33404819083f0d59e1ae89261 completed June 8, 2026, 10:32 p.m.
NEDg Description generation batch_6a274452813881908b96cd5c435abfbd completed June 8, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a2744f156208190b3617a3623b8b3ec completed June 8, 2026, 10:40 p.m.
Created at: April 28, 2026, 3:39 a.m.