Triple

T28451344
Position Surface form Disambiguated ID Type / Status
Subject Subotiv E716588 entity
Predicate locatedInOrNextToBodyOfWater P1489 FINISHED
Object Tiasmyn River
The Tiasmyn River is a tributary of the Dnieper River in central Ukraine, flowing through the Cherkasy region and historically associated with Cossack-era settlements such as Subotiv.
 E2294634 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: Tiasmyn River | Statement: [Subotiv, locatedInOrNextToBodyOfWater, Tiasmyn 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: Tiasmyn River
Triple: [Subotiv, locatedInOrNextToBodyOfWater, Tiasmyn River]
Generated description
The Tiasmyn River is a tributary of the Dnieper River in central Ukraine, flowing through the Cherkasy region and historically associated with Cossack-era settlements such as Subotiv.

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_69efd6b76f8c8190a7ba908aca280942 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64e72b5208190869d49fcb3f0a546 completed May 2, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c07731c688190b574f3c954788d73 completed Aug. 12, 2026, 5:41 a.m.
NEDg Description generation batch_6a7c0863dee08190998b2b0e796e3b93 completed Aug. 12, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_6a7c08bab3e8819098b483c9dbe4eeec completed Aug. 12, 2026, 5:46 a.m.
Created at: April 28, 2026, 1:52 a.m.