Triple

T25735477
Position Surface form Disambiguated ID Type / Status
Subject USS Fargo (CL-85) E645365 entity
Predicate nameReassignedTo P34101 FINISHED
Object USS Fargo (CL-106)
USS Fargo (CL-106) was a United States Navy Fargo-class light cruiser that served shortly after World War II, representing an improved design over the preceding Cleveland-class cruisers.
 E1693834 NE FINISHED

How this triple was built (3 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: USS Fargo (CL-106) | Statement: [USS Fargo (CL-85), nameReassignedTo, USS Fargo (CL-106)]
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: USS Fargo (CL-106)
Triple: [USS Fargo (CL-85), nameReassignedTo, USS Fargo (CL-106)]
Generated description
USS Fargo (CL-106) was a United States Navy Fargo-class light cruiser that served shortly after World War II, representing an improved design over the preceding Cleveland-class cruisers.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameReassignedTo
Context triple: [USS Fargo (CL-85), nameReassignedTo, USS Fargo (CL-106)]
  • A. nameChangeAssociatedWith
    Indicates that a change in one entity’s name is linked or correlated with a change or event involving another entity.
  • B. changedNameOn
    Indicates that an entity altered or updated its name at a specific point in time or on a particular date.
  • C. nameReusedFor chosen
    Indicates that an existing name has been used again for a different entity or instance, rather than introducing a completely new name.
  • D. changedNameBy
    Indicates that one entity altered or updated the name of another entity.
  • E. changedNameIn
    Indicates that an entity has altered or adopted a different name within a specific context, time period, or jurisdiction.
  • F. None of above.

Provenance (6 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_69e77e85254081908d79ee4e8715f283 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fcbf71308190a81518c504d5632d completed May 2, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc01bbac8190bb6ba84b0d98b6e1 completed May 22, 2026, 9:34 p.m.
NEDg Description generation batch_6a10ccbbd8748190af5429ed417fd61f completed May 22, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10cdbf40d08190b75d8cdd23552e3a completed May 22, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69f4938262ac8190b41f922d0407d272 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 11:25 p.m.