Triple

T25310588
Position Surface form Disambiguated ID Type / Status
Subject Sió-csatorna E634596 entity
Predicate isPartOf P10 FINISHED
Object Hungarian inland waterway network
The Hungarian inland waterway network is the interconnected system of rivers, canals, and lakes in Hungary that supports domestic and international navigation, transport, and water management.
 E1675881 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: Hungarian inland waterway network | Statement: [Sió-csatorna, isPartOf, Hungarian inland waterway network]
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: Hungarian inland waterway network
Triple: [Sió-csatorna, isPartOf, Hungarian inland waterway network]
Generated description
The Hungarian inland waterway network is the interconnected system of rivers, canals, and lakes in Hungary that supports domestic and international navigation, transport, and water management.

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_69e75a972c6481909bc11710e8d30a6c completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4939e84dc8190bef761d9bfee08a6 completed May 1, 2026, 11:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075e1030c8190a6dfc36164d8c0d8 completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a10771a5a648190844a509e6ac507be completed May 22, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_6a1077d01fa08190b5439eba879538ef completed May 22, 2026, 3:35 p.m.
Created at: April 21, 2026, 1:26 p.m.