Triple

T29842809
Position Surface form Disambiguated ID Type / Status
Subject Chief of Defence (Denmark) E757846 entity
Predicate legalBasis P125 FINISHED
Object Danish Defence Act
The Danish Defence Act is the primary legislation that defines the structure, responsibilities, and governance of Denmark’s armed forces and overall defence policy.
E1887508 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: Danish Defence Act | Statement: [Chief of Defence (Denmark), legalBasis, Danish Defence Act]
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: Danish Defence Act
Triple: [Chief of Defence (Denmark), legalBasis, Danish Defence Act]
Generated description
The Danish Defence Act is the primary legislation that defines the structure, responsibilities, and governance of Denmark’s armed forces and overall defence policy.

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_69f224593f6c81908785a560fe659f58 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6760b3d6081909d0e3748483989a4 completed May 2, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e60b9e8c8190ab4d606e053d2c1f completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e732f0e0819083339b975200cb17 completed June 8, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_6a26e809c3a88190bba9c39027ab587a completed June 8, 2026, 4:04 p.m.
Created at: April 29, 2026, 5:40 p.m.