Triple

T33315007
Position Surface form Disambiguated ID Type / Status
Subject Crown Princess of Denmark E852990 entity
Predicate associatedWithResidence P75 FINISHED
Object Frederik VIII’s Palace
Frederik VIII’s Palace is one of the four Amalienborg palaces in Copenhagen, serving as a royal residence for members of the Danish royal family.
E2056519 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: Frederik VIII’s Palace | Statement: [Crown Princess of Denmark, associatedWithResidence, Frederik VIII’s 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: Frederik VIII’s Palace
Triple: [Crown Princess of Denmark, associatedWithResidence, Frederik VIII’s Palace]
Generated description
Frederik VIII’s Palace is one of the four Amalienborg palaces in Copenhagen, serving as a royal residence for members of the Danish royal family.

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_69f349679fd8819093b9b40e989440e3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6def7bd2081909b1e8482285771cc completed May 3, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35a65a7de08190be65b265e2857e98 completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a8e909688190a635ec001bdce134 completed June 19, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_6a35a96a0d3081908e67533333bcd739 completed June 19, 2026, 8:41 p.m.
Created at: May 1, 2026, 1:33 a.m.