Triple

T35986488
Position Surface form Disambiguated ID Type / Status
Subject Regen river basin E1040723 entity
Predicate containsTown P847 FINISHED
Object Klatovy region
The Klatovy region is an administrative and historical area in southwestern Bohemia, Czech Republic, known for its market towns, agricultural landscape, and position near the Šumava (Bohemian Forest).
E2234678 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: Klatovy region | Statement: [Regen river basin, containsTown, Klatovy region]
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: Klatovy region
Triple: [Regen river basin, containsTown, Klatovy region]
Generated description
The Klatovy region is an administrative and historical area in southwestern Bohemia, Czech Republic, known for its market towns, agricultural landscape, and position near the Šumava (Bohemian Forest).

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_69f76e28293c8190ae3f4e2208b87117 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac57d0848190bdbfd139fcd70ea2 completed May 3, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7d5cf7c8190858a864c14ebb2db completed June 28, 2026, 4:49 a.m.
NEDg Description generation batch_6a40a9675434819092d1606edfa90482 completed June 28, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_6a40a9ffe2688190ad8c76e103b9eace completed June 28, 2026, 4:58 a.m.
Created at: May 3, 2026, 4:07 p.m.