Triple

T21591889
Position Surface form Disambiguated ID Type / Status
Subject Infantry Basic Officer Leader Course E532801 entity
Predicate shortName P43 FINISHED
Object IBOLC
IBOLC is the U.S. Army’s initial training course that prepares newly commissioned infantry officers for leadership at the platoon level.
 E1492097 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: IBOLC | Statement: [Infantry Basic Officer Leader Course, shortName, IBOLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IBOLC
Context triple: [Infantry Basic Officer Leader Course, shortName, IBOLC]
  • A. IBOM
    IBOM is the airline callsign used by Ibom Air, a Nigerian regional carrier based in Akwa Ibom State.
  • B. IBED
    IBED is a research institute focused on studying biodiversity, ecosystem processes, and environmental change.
  • C. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • D. IBSL
    IBSL is the commonly used acronym for the Israeli Basketball Premier League, the top professional basketball league in Israel.
  • E. IBWC
    IBWC is a binational U.S.–Mexico agency responsible for applying boundary and water treaties and managing shared water resources along the international border.
  • 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: IBOLC
Triple: [Infantry Basic Officer Leader Course, shortName, IBOLC]
Generated description
IBOLC is the U.S. Army’s initial training course that prepares newly commissioned infantry officers for leadership at the platoon level.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IBOLC
Target entity description: IBOLC is the U.S. Army’s initial training course that prepares newly commissioned infantry officers for leadership at the platoon level.
  • A. IBOM
    IBOM is the airline callsign used by Ibom Air, a Nigerian regional carrier based in Akwa Ibom State.
  • B. IBED
    IBED is a research institute focused on studying biodiversity, ecosystem processes, and environmental change.
  • C. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • D. IBSL
    IBSL is the commonly used acronym for the Israeli Basketball Premier League, the top professional basketball league in Israel.
  • E. IBWC
    IBWC is a binational U.S.–Mexico agency responsible for applying boundary and water treaties and managing shared water resources along the international border.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadeb56c8190bce79efadf3c644d completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f681f8a08190965cf2c3b12eb134 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f85e21948190a6563d309c349f78 completed May 17, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a09f8d30ff08190b3bc6c45f7b5257b completed May 17, 2026, 5:20 p.m.
Created at: April 16, 2026, 6:32 p.m.