Triple

T15955411
Position Surface form Disambiguated ID Type / Status
Subject Ljubostinja Monastery E386921 entity
Predicate locatedOnRiver P165 FINISHED
Object Ljubostinja River
The Ljubostinja River is a small watercourse in central Serbia that flows past the medieval Ljubostinja Monastery and forms part of the local Morava river basin.
E1664973 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: Ljubostinja River | Statement: [Ljubostinja Monastery, locatedOnRiver, Ljubostinja 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: Ljubostinja River
Triple: [Ljubostinja Monastery, locatedOnRiver, Ljubostinja River]
Generated description
The Ljubostinja River is a small watercourse in central Serbia that flows past the medieval Ljubostinja Monastery and forms part of the local Morava river basin.

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f94b108190905d295c3405860e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a105ca65e148190bb1d912f60c172f6 completed May 22, 2026, 1:39 p.m.
NEDg Description generation batch_6a105daad81481909d399aba96a1176c completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105e3d647881909b04575cd240d468 completed May 22, 2026, 1:46 p.m.
Created at: April 10, 2026, 4:53 a.m.