Triple

T24599831
Position Surface form Disambiguated ID Type / Status
Subject National Security Agency E608790 entity
Predicate operates P24 FINISHED
Object National Security Operations Center
The National Security Operations Center is the National Security Agency’s 24/7 hub for monitoring global signals intelligence and coordinating responses to national security threats.
 E1640362 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: National Security Operations Center | Statement: [National Security Agency, operates, National Security Operations Center]
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: National Security Operations Center
Triple: [National Security Agency, operates, National Security Operations Center]
Generated description
The National Security Operations Center is the National Security Agency’s 24/7 hub for monitoring global signals intelligence and coordinating responses to national security threats.

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_69e2c4cf54248190af7b0c2d9ade9830 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a9e1f2788190b2f1c9d680333d33 completed April 30, 2026, 1:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff8872e588190b799e6fa10d36a36 completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ff93ae5988190a5e95f65de5479f7 completed May 22, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9bad3188190b0c24c111ef809d5 completed May 22, 2026, 6:37 a.m.
Created at: April 18, 2026, 2:30 a.m.