Triple

T9562779
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Marine Inspection and Navigation E230715 entity
Predicate shortName P43 FINISHED
Object BMIN
BMIN is the abbreviated name for the former U.S. Bureau of Marine Inspection and Navigation, a federal agency that oversaw merchant vessel safety and documentation.
 E806597 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: BMIN | Statement: [Bureau of Marine Inspection and Navigation, shortName, BMIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMIN
Context triple: [Bureau of Marine Inspection and Navigation, shortName, BMIN]
  • A. BMR
    BMR is the station code for Bellmore station on the Long Island Rail Road in New York.
  • B. BMR
    BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
  • C. BMD
    BMD is the acronym for the Borders and Maritime Security Division, a U.S. homeland security component focused on safeguarding the nation’s borders and maritime domains through advanced technologies and operational capabilities.
  • D. BENAM
    BENAM is the UN/LOCODE designation used in international trade and transport to identify the city of Namur in Belgium.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • 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: BMIN
Triple: [Bureau of Marine Inspection and Navigation, shortName, BMIN]
Generated description
BMIN is the abbreviated name for the former U.S. Bureau of Marine Inspection and Navigation, a federal agency that oversaw merchant vessel safety and documentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMIN
Target entity description: BMIN is the abbreviated name for the former U.S. Bureau of Marine Inspection and Navigation, a federal agency that oversaw merchant vessel safety and documentation.
  • A. BMR
    BMR is the station code for Bellmore station on the Long Island Rail Road in New York.
  • B. BMR
    BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
  • C. BMD
    BMD is the acronym for the Borders and Maritime Security Division, a U.S. homeland security component focused on safeguarding the nation’s borders and maritime domains through advanced technologies and operational capabilities.
  • D. BENAM
    BENAM is the UN/LOCODE designation used in international trade and transport to identify the city of Namur in Belgium.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9965e7b881909df98e933db38092 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a014a48190925d52967e1fbffe completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.