Triple

T26672229
Position Surface form Disambiguated ID Type / Status
Subject Đurađ II Balšić E672363 entity
Predicate successor P78 FINISHED
Object Balša III Balšić
Balša III Balšić was the last ruler of the medieval Principality of Zeta from the Balšić dynasty, known for his struggles against Venetian expansion and the Ottoman advance in the Balkans.
E1774830 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: Balša III Balšić | Statement: [Đurađ II Balšić, successor, Balša III Balšić]
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: Balša III Balšić
Triple: [Đurađ II Balšić, successor, Balša III Balšić]
Generated description
Balša III Balšić was the last ruler of the medieval Principality of Zeta from the Balšić dynasty, known for his struggles against Venetian expansion and the Ottoman advance in the Balkans.

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_69eecda00a9c8190b2691f4d89db03b6 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6170044f081908403e5e59a52a57b completed May 2, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbb59e908190ba454a603a3de5ff completed May 24, 2026, 8:49 a.m.
NEDg Description generation batch_6a12bc906eb481908d12f171b1230dbe completed May 24, 2026, 8:53 a.m.
NED2 Entity disambiguation (via description) batch_6a12bd38f1948190a0b1f05ff28d8289 completed May 24, 2026, 8:56 a.m.
Created at: April 27, 2026, 3:13 a.m.