Triple

T35434440
Position Surface form Disambiguated ID Type / Status
Subject Ivan Sratsimir of Bulgaria E1024161 entity
Predicate house P1505 FINISHED
Object House of Sratsimir
The House of Sratsimir was a medieval Bulgarian royal dynasty that ruled parts of the Second Bulgarian Empire, most notably through Tsar Ivan Sratsimir in Vidin.
E2141123 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: House of Sratsimir | Statement: [Ivan Sratsimir of Bulgaria, house, House of Sratsimir]
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: House of Sratsimir
Triple: [Ivan Sratsimir of Bulgaria, house, House of Sratsimir]
Generated description
The House of Sratsimir was a medieval Bulgarian royal dynasty that ruled parts of the Second Bulgarian Empire, most notably through Tsar Ivan Sratsimir in Vidin.

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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795babc948190b17d885f6ce1f653 completed May 3, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836bea6848190a93fc723d672e3bd completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a383a6b04188190a1ef23a42f2fe7c2 completed June 21, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_6a383acebb9c8190a7dc924e0c637d36 completed June 21, 2026, 7:26 p.m.
Created at: May 3, 2026, 4:04 p.m.