Triple

T34296636
Position Surface form Disambiguated ID Type / Status
Subject 112th Fighter Squadron E880048 entity
Predicate primaryTasking P2166 FINISHED
Object Air Sovereignty Alert
Air Sovereignty Alert is a continuous air defense mission in which fighter aircraft stand ready to rapidly intercept and respond to potential airborne threats within a nation's airspace.
E91510 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: Air Sovereignty Alert | Statement: [112th Fighter Squadron, primaryTasking, Air Sovereignty Alert]
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: Air Sovereignty Alert
Triple: [112th Fighter Squadron, primaryTasking, Air Sovereignty Alert]
Generated description
Air Sovereignty Alert is a continuous air defense mission in which fighter aircraft stand ready to rapidly intercept and respond to potential airborne threats within a nation's airspace.

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_69f349b79f6c81909cb468c92c39c74d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7133294d48190b8dc4abddc0e54c4 completed May 3, 2026, 9:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36e6358c908190b27d7a41e2c5ee94 completed June 20, 2026, 7:12 p.m.
NEDg Description generation batch_6a36e94d06408190ac162fa97676063f completed June 20, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_6a36e9d01960819085bccf4bff119b09 completed June 20, 2026, 7:28 p.m.
Created at: May 1, 2026, 1:57 a.m.