Triple

T28200975
Position Surface form Disambiguated ID Type / Status
Subject Vodňany E716881 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Higher Vocational School of Fisheries Vodňany
Higher Vocational School of Fisheries Vodňany is a specialized Czech institution focused on fisheries, aquaculture, and related environmental and water management studies.
E1812041 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: Higher Vocational School of Fisheries Vodňany | Statement: [Vodňany, hasEducationalInstitution, Higher Vocational School of Fisheries Vodňany]
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: Higher Vocational School of Fisheries Vodňany
Triple: [Vodňany, hasEducationalInstitution, Higher Vocational School of Fisheries Vodňany]
Generated description
Higher Vocational School of Fisheries Vodňany is a specialized Czech institution focused on fisheries, aquaculture, and related environmental and water management studies.

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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f642d510548190b9f34ed50d80f858 completed May 2, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a160707dc8481909098464e06a2b02c completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a16186e42608190ae30b5654063753e completed May 26, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_6a16196238388190bd2d7b5ffb1fd8e3 completed May 26, 2026, 10:06 p.m.
Created at: April 27, 2026, 10:31 p.m.