Triple

T4364176
Position Surface form Disambiguated ID Type / Status
Subject USS Pensacola (CA-24) E98732 entity
Predicate hullNumber P3152 FINISHED
Object CA-24
CA-24 was a U.S. Navy Pensacola-class heavy cruiser that served prominently in the Pacific Theater during World War II.
E432873 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: CA-24 | Statement: [USS Pensacola (CA-24), hullNumber, CA-24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA-24
Context triple: [USS Pensacola (CA-24), hullNumber, CA-24]
  • A. CA-29
    CA-29 was a U.S. Navy heavy cruiser named USS Chicago that served primarily in the Pacific during the interwar period and early World War II.
  • B. CA-26
    CA-26 was the hull classification symbol for USS Northampton, a U.S. Navy heavy cruiser that served prominently in the Pacific during the early years of World War II.
  • C. CA28
    CA28 is a UK postcode district covering parts of the coastal town of Whitehaven in Cumbria, England.
  • D. CA-MB
    CA-MB is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of Manitoba in international standards.
  • E. CA-13
    CA-13 is a United States congressional district in California represented in the U.S. House of Representatives.
  • 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: CA-24
Triple: [USS Pensacola (CA-24), hullNumber, CA-24]
Generated description
CA-24 was a U.S. Navy Pensacola-class heavy cruiser that served prominently in the Pacific Theater during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CA-24
Target entity description: CA-24 was a U.S. Navy Pensacola-class heavy cruiser that served prominently in the Pacific Theater during World War II.
  • A. CA-29
    CA-29 was a U.S. Navy heavy cruiser named USS Chicago that served primarily in the Pacific during the interwar period and early World War II.
  • B. CA-26
    CA-26 was the hull classification symbol for USS Northampton, a U.S. Navy heavy cruiser that served prominently in the Pacific during the early years of World War II.
  • C. CA28
    CA28 is a UK postcode district covering parts of the coastal town of Whitehaven in Cumbria, England.
  • D. CA-MB
    CA-MB is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of Manitoba in international standards.
  • E. CA-13
    CA-13 is a United States congressional district in California represented in the U.S. House of Representatives.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e70a748190af6f1b709a0e75e6 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc925d881909fac944bc7ce5407 completed March 14, 2026, 10:06 p.m.
NEDg Description generation batch_69b5dc578b08819095cbf6ba8470d3e0 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd1b03508190a47bb6fb93f22ad8 completed March 14, 2026, 10:11 p.m.
Created at: March 12, 2026, 11:16 p.m.