Triple

T16949039
Position Surface form Disambiguated ID Type / Status
Subject Battle Staff Noncommissioned Officer Course E411137 entity
Predicate alsoKnownAs P39 FINISHED
Object BSNCOC
BSNCOC is a U.S. Army professional development course designed to train and prepare noncommissioned officers for staff-level duties in battalion and higher headquarters.
 E1241664 NE FINISHED

How this triple was built (4 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: BSNCOC | Statement: [Battle Staff Noncommissioned Officer Course, alsoKnownAs, BSNCOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSNCOC
Context triple: [Battle Staff Noncommissioned Officer Course, alsoKnownAs, BSNCOC]
  • A. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • B. BNC
    BNC is the IATA airport code for Beni Airport in the Democratic Republic of the Congo.
  • C. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • D. BNC
    BNC is the three-letter National Rail station code for Burnley Central railway station in Lancashire, England.
  • E. SBCO
    SBCO is the ICAO airport code assigned to Canoas Air Base, a Brazilian Air Force installation located in Canoas, Rio Grande do Sul, Brazil.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: BSNCOC
Triple: [Battle Staff Noncommissioned Officer Course, alsoKnownAs, BSNCOC]
Generated description
BSNCOC is a U.S. Army professional development course designed to train and prepare noncommissioned officers for staff-level duties in battalion and higher headquarters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSNCOC
Target entity description: BSNCOC is a U.S. Army professional development course designed to train and prepare noncommissioned officers for staff-level duties in battalion and higher headquarters.
  • A. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • B. BNC
    BNC is the IATA airport code for Beni Airport in the Democratic Republic of the Congo.
  • C. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • D. BNC
    BNC is the three-letter National Rail station code for Burnley Central railway station in Lancashire, England.
  • E. SBCO
    SBCO is the ICAO airport code assigned to Canoas Air Base, a Brazilian Air Force installation located in Canoas, Rio Grande do Sul, Brazil.
  • F. None of above. chosen

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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb4b1b08190b608d36a209ed6bd completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfeeee948190a5c8904d1f559a28 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0c0ecc48190b88dcb170926bf16 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d194e9e08190bf0c4c0fe3921978 completed May 10, 2026, 6:42 p.m.
Created at: April 10, 2026, 5:31 a.m.