Triple

T36497314
Position Surface form Disambiguated ID Type / Status
Subject New Hampshire National Guard E899225 entity
Predicate hasPart P35 FINISHED
Object New Hampshire Air National Guard
The New Hampshire Air National Guard is the aerial warfare component of the New Hampshire National Guard, providing trained air units for federal missions and state emergency support.
E2187673 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: New Hampshire Air National Guard | Statement: [New Hampshire National Guard, hasPart, New Hampshire 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: New Hampshire Air National Guard
Triple: [New Hampshire National Guard, hasPart, New Hampshire Air National Guard]
Generated description
The New Hampshire Air National Guard is the aerial warfare component of the New Hampshire National Guard, providing trained air units for federal missions and state emergency support.

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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1c12074819085a1f9bfb5d8639f completed May 3, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbcdbcf481909e32bf53079161a0 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dcad4370819093a89f7a64c1b4dc completed June 23, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_6a39e1c8a4d48190b23a4a436f08893f completed June 23, 2026, 1:30 a.m.
Created at: May 3, 2026, 4:10 p.m.