Triple

T37299481
Position Surface form Disambiguated ID Type / Status
Subject 99th Infantry Division E925899 entity
Predicate componentUnit P11709 FINISHED
Object 372nd Field Artillery Battalion
The 372nd Field Artillery Battalion was a U.S. Army artillery unit that provided fire support as part of the 99th Infantry Division, notably during World War II operations in the European Theater.
E2224929 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: 372nd Field Artillery Battalion | Statement: [99th Infantry Division, componentUnit, 372nd Field Artillery Battalion]
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: 372nd Field Artillery Battalion
Triple: [99th Infantry Division, componentUnit, 372nd Field Artillery Battalion]
Generated description
The 372nd Field Artillery Battalion was a U.S. Army artillery unit that provided fire support as part of the 99th Infantry Division, notably during World War II operations in the European Theater.

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_69f76eb0f86c819098dee07393e69ec3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5aef9fbc8190a47c00c4ac29d5b0 completed May 6, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4076e991608190a3d501cd6537cf0f completed June 28, 2026, 1:20 a.m.
NEDg Description generation batch_6a4077c183048190b60204779b4336b5 completed June 28, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a4078362d0881909b963ee3fe45787e completed June 28, 2026, 1:26 a.m.
Created at: May 3, 2026, 4:16 p.m.