Triple

T36789330
Position Surface form Disambiguated ID Type / Status
Subject Brukenthal National Museum E909008 entity
Predicate occupies P2574 FINISHED
Object Brukenthal Palace
Brukenthal Palace is a historic Baroque residence in Sibiu, Romania, best known today as the main building of the Brukenthal National Museum and one of the country’s oldest art museum venues.
E909008 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: Brukenthal Palace | Statement: [Brukenthal National Museum, occupies, Brukenthal Palace]
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: Brukenthal Palace
Triple: [Brukenthal National Museum, occupies, Brukenthal Palace]
Generated description
Brukenthal Palace is a historic Baroque residence in Sibiu, Romania, best known today as the main building of the Brukenthal National Museum and one of the country’s oldest art museum venues.

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_69f76e7a937c81909ed7359641e670f6 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9fd7ee081908faacc427cd200fe completed May 3, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c1e2e18819085ddf270a5463d1f completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2d0b7b9081908b0a1754dfbea0df completed June 26, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3e40f1c27c8190aacf64bbd31eb44b completed June 26, 2026, 9:05 a.m.
Created at: May 3, 2026, 4:12 p.m.