Triple

T10085183
Position Surface form Disambiguated ID Type / Status
Subject BB 7200 E215200 entity
Predicate relatedTo P37 FINISHED
Object BB 15000
BB 15000 is a class of French electric locomotives widely used by SNCF for both passenger and freight services since the 1970s.
 E841050 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: BB 15000 | Statement: [BB 7200, relatedTo, BB 15000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BB 15000
Context triple: [BB 7200, relatedTo, BB 15000]
  • A. BB-33
    BB-33 is the hull classification symbol for USS Arkansas, a Wyoming-class battleship that served in the U.S. Navy during both World Wars.
  • B. BB-55
    BB-55 is the hull classification symbol for USS North Carolina, a World War II-era U.S. Navy battleship renowned for its service in the Pacific Theater and preservation as a museum ship.
  • C. BB-39
    BB-39 is the hull classification symbol for USS Arizona, a Pennsylvania-class battleship of the United States Navy sunk during the attack on Pearl Harbor in 1941.
  • D. BB-31
    BB-31 was the original battleship designation for USS Utah, a Florida-class dreadnought that later served as a target and training ship for the U.S. Navy.
  • E. BB-38
    BB-38 is the hull number of USS Pennsylvania, a Pennsylvania-class battleship of the United States Navy that served prominently during both World Wars.
  • 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: BB 15000
Triple: [BB 7200, relatedTo, BB 15000]
Generated description
BB 15000 is a class of French electric locomotives widely used by SNCF for both passenger and freight services since the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BB 15000
Target entity description: BB 15000 is a class of French electric locomotives widely used by SNCF for both passenger and freight services since the 1970s.
  • A. BB-33
    BB-33 is the hull classification symbol for USS Arkansas, a Wyoming-class battleship that served in the U.S. Navy during both World Wars.
  • B. BB-55
    BB-55 is the hull classification symbol for USS North Carolina, a World War II-era U.S. Navy battleship renowned for its service in the Pacific Theater and preservation as a museum ship.
  • C. BB-39
    BB-39 is the hull classification symbol for USS Arizona, a Pennsylvania-class battleship of the United States Navy sunk during the attack on Pearl Harbor in 1941.
  • D. BB-31
    BB-31 was the original battleship designation for USS Utah, a Florida-class dreadnought that later served as a target and training ship for the U.S. Navy.
  • E. BB-38
    BB-38 is the hull number of USS Pennsylvania, a Pennsylvania-class battleship of the United States Navy that served prominently during both World Wars.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04609748190987a9364a387fa61 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b68188c48190ac783cdfc072c502 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b7aecdb081909f651c1bc1bcfd75 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b86bf8948190a79046efadc4adea completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9 p.m.