Triple

T29423230
Position Surface form Disambiguated ID Type / Status
Subject 11 Signals Company E746211 entity
Predicate componentOf P35 FINISHED
Object Dutch Army signals organization
The Dutch Army signals organization is the branch of the Royal Netherlands Army responsible for military communications, information systems, and electronic support to land forces.
 E1867786 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: Dutch Army signals organization | Statement: [11 Signals Company, componentOf, Dutch Army signals organization]
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: Dutch Army signals organization
Triple: [11 Signals Company, componentOf, Dutch Army signals organization]
Generated description
The Dutch Army signals organization is the branch of the Royal Netherlands Army responsible for military communications, information systems, and electronic support to land forces.

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_69f0a7a06e0081908add494075912eb4 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66a6aa3d08190887bfa4eed48faeb completed May 2, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d9285cd88190a9ed07e6719f8f3f completed June 7, 2026, 8:48 p.m.
NEDg Description generation batch_6a25dd39b5e08190afdacb75ea8ef091 completed June 7, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a25e28ca1988190929154c0ceb6d42b completed June 7, 2026, 9:28 p.m.
Created at: April 28, 2026, 3:07 p.m.