Triple

T12221960
Position Surface form Disambiguated ID Type / Status
Subject Combat Logistics Battalion 3 E291238 entity
Predicate nickname P55 FINISHED
Object CLB-3
CLB-3 is a United States Marine Corps combat logistics battalion that provides tactical logistics support to Marine units during operations and deployments.
 E968429 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: CLB-3 | Statement: [Combat Logistics Battalion 3, nickname, CLB-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLB-3
Context triple: [Combat Logistics Battalion 3, nickname, CLB-3]
  • A. CLB
    CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
  • B. CLB
    CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
  • C. CLB
    CLB is the standard abbreviation used for the Columbus Clippers, a Minor League Baseball team.
  • D. BLB-2
    BLB-2 is a rechargeable lithium-ion battery commonly used in early Nokia mobile phones such as the Nokia 7650.
  • E. CL-52
    CL-52 was the hull number of USS Juneau, a World War II United States Navy Atlanta-class light cruiser best known for its sinking in the Naval Battle of Guadalcanal and the loss of the five Sullivan brothers.
  • 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: CLB-3
Triple: [Combat Logistics Battalion 3, nickname, CLB-3]
Generated description
CLB-3 is a United States Marine Corps combat logistics battalion that provides tactical logistics support to Marine units during operations and deployments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLB-3
Target entity description: CLB-3 is a United States Marine Corps combat logistics battalion that provides tactical logistics support to Marine units during operations and deployments.
  • A. CLB
    CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
  • B. CLB
    CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
  • C. CLB
    CLB is the standard abbreviation used for the Columbus Clippers, a Minor League Baseball team.
  • D. BLB-2
    BLB-2 is a rechargeable lithium-ion battery commonly used in early Nokia mobile phones such as the Nokia 7650.
  • E. CL-52
    CL-52 was the hull number of USS Juneau, a World War II United States Navy Atlanta-class light cruiser best known for its sinking in the Naval Battle of Guadalcanal and the loss of the five Sullivan brothers.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa6d3d481909852a6f2f90d7a41 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60c06e4c08190985114da9317e8fd completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c97a7e08190b782b3aa6d60d770 completed May 2, 2026, 2:39 p.m.
Created at: April 8, 2026, 9:51 p.m.