Triple

T37756300
Position Surface form Disambiguated ID Type / Status
Subject RF-4C E941122 entity
Predicate operator P179 FINISHED
Object Nevada Air National Guard
The Nevada Air National Guard is the aerial militia component of the state of Nevada, operating as part of the U.S. Air National Guard to provide trained units for federal and state missions including reconnaissance, airlift, and support operations.
E2242521 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: Nevada Air National Guard | Statement: [RF-4C, operator, Nevada Air National Guard]
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: Nevada Air National Guard
Triple: [RF-4C, operator, Nevada Air National Guard]
Generated description
The Nevada Air National Guard is the aerial militia component of the state of Nevada, operating as part of the U.S. Air National Guard to provide trained units for federal and state missions including reconnaissance, airlift, and support operations.

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_69f76ee1f3a88190834e6c8af99bccc9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaef51da881909c03d1dc36422ce7 completed May 6, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40e07d5e248190bd44225f849b2a43 completed June 28, 2026, 8:51 a.m.
NEDg Description generation batch_6a40e18eefc88190ba28efc92a9fc5fa completed June 28, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_6a40e5eb251881909402d2376b2317f2 completed June 28, 2026, 9:14 a.m.
Created at: May 3, 2026, 4:19 p.m.