Triple

T31341702
Position Surface form Disambiguated ID Type / Status
Subject Rajecké Teplice E799322 entity
Predicate locatedOnRiver P165 FINISHED
Object Rajčianka River
The Rajčianka River is a river in northern Slovakia that flows through the Rajecká Valley and the town of Žilina before joining the Váh River.
 E2015291 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: Rajčianka River | Statement: [Rajecké Teplice, locatedOnRiver, Rajčianka 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: Rajčianka River
Triple: [Rajecké Teplice, locatedOnRiver, Rajčianka River]
Generated description
The Rajčianka River is a river in northern Slovakia that flows through the Rajecká Valley and the town of Žilina before joining the Váh 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_69f224e51614819083141459a080e97c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f143eb0819085b3b7f77faa8273 completed May 3, 2026, 1:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3485e732e88190b2ab98a31a1d5daa completed June 18, 2026, 11:57 p.m.
NEDg Description generation batch_6a3486c2afa881909c2af63e7d642668 completed June 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a34895926748190b5a5b5e82f4944fc completed June 19, 2026, 12:12 a.m.
Created at: April 29, 2026, 9:17 p.m.