Triple

T35548033
Position Surface form Disambiguated ID Type / Status
Subject Oplenac E1027271 entity
Predicate near P350 FINISHED
Object King Peter’s House in Topola
King Peter’s House in Topola is a historic royal residence in the Serbian town of Topola, associated with the Karađorđević dynasty and the legacy of King Peter I of Serbia.
E2145660 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: King Peter’s House in Topola | Statement: [Oplenac, near, King Peter’s House in Topola]
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: King Peter’s House in Topola
Triple: [Oplenac, near, King Peter’s House in Topola]
Generated description
King Peter’s House in Topola is a historic royal residence in the Serbian town of Topola, associated with the Karađorđević dynasty and the legacy of King Peter I of Serbia.

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_69f76e008ba08190927acd8e5e0344c8 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f798387ea481909f51303f53a22e52 completed May 3, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3852ef15648190be334b80d011ee4c completed June 21, 2026, 9:09 p.m.
NEDg Description generation batch_6a38545a48a881909970b888d152b021 completed June 21, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a3854ee0cc08190a542392edeedb715 completed June 21, 2026, 9:17 p.m.
Created at: May 3, 2026, 4:04 p.m.