Triple

T33629499
Position Surface form Disambiguated ID Type / Status
Subject Crna River E861511 entity
Predicate hasRightTributary P415 FINISHED
Object Blato River
Blato River is a right-bank tributary of the Crna River, contributing to the river network of North Macedonia.
 E2297053 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: Blato River | Statement: [Crna River, hasRightTributary, Blato 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: Blato River
Triple: [Crna River, hasRightTributary, Blato River]
Generated description
Blato River is a right-bank tributary of the Crna River, contributing to the river network of North Macedonia.

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_69f34981c54c81909b33c3fa2208a52d completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f859cf8c8190a2a0d3d31e4392e7 completed May 3, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82fb128d048190a8460cd7d25503f0 completed Aug. 17, 2026, 12:14 p.m.
NEDg Description generation batch_6a82fb63f878819085755ef75b0b1aa6 completed Aug. 17, 2026, 12:15 p.m.
NED2 Entity disambiguation (via description) batch_6a82fc353e588190a7d8aa619293eed6 completed Aug. 17, 2026, 12:19 p.m.
Created at: May 1, 2026, 1:41 a.m.