Triple

T27423352
Position Surface form Disambiguated ID Type / Status
Subject CHINFO E693107 entity
Predicate oversees P46 FINISHED
Object Navy Office of Information
The Navy Office of Information is the U.S. Navy’s public affairs organization responsible for managing communication, media relations, and information dissemination about naval activities and policies.
 E1772929 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: Navy Office of Information | Statement: [CHINFO, oversees, Navy Office of Information]
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: Navy Office of Information
Triple: [CHINFO, oversees, Navy Office of Information]
Generated description
The Navy Office of Information is the U.S. Navy’s public affairs organization responsible for managing communication, media relations, and information dissemination about naval activities and policies.

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_69ef5208617081908f731d312e0fd1bc completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d1e948c8190aadd4607ec8f91db completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b24a0c50819084af33c0af031f85 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b30efdb08190b496a3e48eb4f6af completed May 24, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a12b37ffce481909ef1f0f1f552af2f completed May 24, 2026, 8:14 a.m.
Created at: April 27, 2026, 12:36 p.m.