Triple

T28805239
Position Surface form Disambiguated ID Type / Status
Subject 374th Mission Support Group E727352 entity
Predicate hasComponent P35 FINISHED
Object 374th Communications Squadron
The 374th Communications Squadron is a U.S. Air Force unit responsible for providing communications and information systems support to the 374th Airlift Wing and its associated organizations.
E1844912 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: 374th Communications Squadron | Statement: [374th Mission Support Group, hasComponent, 374th Communications Squadron]
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: 374th Communications Squadron
Triple: [374th Mission Support Group, hasComponent, 374th Communications Squadron]
Generated description
The 374th Communications Squadron is a U.S. Air Force unit responsible for providing communications and information systems support to the 374th Airlift Wing and its associated organizations.

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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658adae788190baa8a5f92e33172f completed May 2, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a250595e39881908eb1e6ac056d1013 completed June 7, 2026, 5:45 a.m.
NEDg Description generation batch_6a2509f0d7048190b5cc1971e6503653 completed June 7, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a250e35cb2c81909d7632be22680434 completed June 7, 2026, 6:22 a.m.
Created at: April 28, 2026, 6:28 a.m.