Triple

T26466797
Position Surface form Disambiguated ID Type / Status
Subject Vantaa River E665788 entity
Predicate hasTributary P415 FINISHED
Object Kerava River
Kerava River is a tributary watercourse in southern Finland that flows through the town of Kerava before joining the Vantaa River.
 E1795740 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: Kerava River | Statement: [Vantaa River, hasTributary, Kerava River]
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: Kerava River
Triple: [Vantaa River, hasTributary, Kerava River]
Generated description
Kerava River is a tributary watercourse in southern Finland that flows through the town of Kerava before joining the Vantaa River.

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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6129a319881908110a8480090c066 completed May 2, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13112446bc819081f39c0fb0cf1b8e completed May 24, 2026, 2:54 p.m.
NEDg Description generation batch_6a1312b5baf88190a9279556df3173ab completed May 24, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a13133814d48190991b1eaaf1e93bb7 completed May 24, 2026, 3:03 p.m.
Created at: April 27, 2026, 12:16 a.m.