Triple

T742656
Position Surface form Disambiguated ID Type / Status
Subject Combat Infantryman Badge E15275 entity
Predicate abbreviation P43 FINISHED
Object CIB
The CIB is a U.S. Army military decoration awarded to infantry and Special Forces soldiers who have actively participated in ground combat.
E87445 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: CIB | Statement: [Combat Infantryman Badge, abbreviation, CIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIB
Context triple: [Combat Infantryman Badge, abbreviation, CIB]
  • A. CIT
    The United States Court of International Trade (CIT) is a federal trial court that specializes in cases involving international trade and customs laws.
  • B. CIT
    CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
  • C. KCB
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • D. IBC
    IBC is the commonly used abbreviation for the International Old Catholic Bishops’ Conference, a governing body of Old Catholic bishops.
  • E. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • 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: CIB
Triple: [Combat Infantryman Badge, abbreviation, CIB]
Generated description
The CIB is a U.S. Army military decoration awarded to infantry and Special Forces soldiers who have actively participated in ground combat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CIB
Target entity description: The CIB is a U.S. Army military decoration awarded to infantry and Special Forces soldiers who have actively participated in ground combat.
  • A. CIT
    CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
  • B. CIT
    The United States Court of International Trade (CIT) is a federal trial court that specializes in cases involving international trade and customs laws.
  • C. KCB
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • D. IBC
    IBC is the commonly used abbreviation for the International Old Catholic Bishops’ Conference, a governing body of Old Catholic bishops.
  • E. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a60f92d08190a4f44c5b4d068ab5 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a63f9288190b86e4a75467acce0 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64aef14c48190b947a4c3a7becc0f completed March 3, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69a64b80d5fc81909e69832457569064 completed March 3, 2026, 2:46 a.m.
Created at: March 1, 2026, 7:37 p.m.