Triple

T32268699
Position Surface form Disambiguated ID Type / Status
Subject Michigan Air National Guard E824359 entity
Predicate hasUnit P35 FINISHED
Object 110th Security Forces Squadron
The 110th Security Forces Squadron is a military police and base defense unit of the Michigan Air National Guard responsible for protecting personnel, resources, and installations.
E2004048 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: 110th Security Forces Squadron | Statement: [Michigan Air National Guard, hasUnit, 110th Security Forces 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: 110th Security Forces Squadron
Triple: [Michigan Air National Guard, hasUnit, 110th Security Forces Squadron]
Generated description
The 110th Security Forces Squadron is a military police and base defense unit of the Michigan Air National Guard responsible for protecting personnel, resources, and installations.

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_69f3490e73588190915f282edd105772 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc858f288190a674b92fac98b600 completed May 3, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e88eaf948190963820ce0b7ffdac completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33ea2138448190afb6032a75e3a50b completed June 18, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_6a3440d0cddc8190b51a2058eba83b09 completed June 18, 2026, 7:02 p.m.
Created at: May 1, 2026, 12:42 a.m.