Triple

T38155519
Position Surface form Disambiguated ID Type / Status
Subject 32nd Infantry Regiment E952873 entity
Predicate hasSubunit P747 FINISHED
Object 2nd Battalion, 32nd Infantry Regiment
The 2nd Battalion, 32nd Infantry Regiment is a battalion-sized unit of the United States Army with a history of service in multiple major conflicts as part of the 32nd Infantry Regiment.
E2262031 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: 2nd Battalion, 32nd Infantry Regiment | Statement: [32nd Infantry Regiment, hasSubunit, 2nd Battalion, 32nd Infantry Regiment]
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: 2nd Battalion, 32nd Infantry Regiment
Triple: [32nd Infantry Regiment, hasSubunit, 2nd Battalion, 32nd Infantry Regiment]
Generated description
The 2nd Battalion, 32nd Infantry Regiment is a battalion-sized unit of the United States Army with a history of service in multiple major conflicts as part of the 32nd Infantry Regiment.

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_69f76f0a67f4819080c492f61d688fcc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4633bd9481909024dcec3ae7a36f completed May 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4193b76c448190a543cc78b1e71947 completed June 28, 2026, 9:35 p.m.
NEDg Description generation batch_6a419462120081909b5dec5ad19dd4ae completed June 28, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a4194c230e4819091e6ff47ff28aefc completed June 28, 2026, 9:40 p.m.
Created at: May 3, 2026, 4:21 p.m.