Triple

T9924279
Position Surface form Disambiguated ID Type / Status
Subject USS Farragut (TB-11) E187881 entity
Predicate hullNumber P3152 FINISHED
Object TB-11
TB-11 was the hull designation for USS Farragut, a United States Navy torpedo boat commissioned in the late 19th century.
E828905 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: TB-11 | Statement: [USS Farragut (TB-11), hullNumber, TB-11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TB-11
Context triple: [USS Farragut (TB-11), hullNumber, TB-11]
  • A. T-10
    T-10 is the station code for Nihonbashi Station on Tokyo Metro’s Tozai Line in central Tokyo.
  • B. TD-1A
    TD-1A was a European Space Research Organisation astronomical satellite dedicated primarily to ultraviolet sky surveys and stellar observations in the early 1970s.
  • C. TR-1A
    The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • D. CF-101B
    The CF-101B was a Canadian-operated interceptor version of the McDonnell F-101 Voodoo, adapted for air defense roles within the Royal Canadian Air Force and later the Canadian Armed Forces.
  • E. TX-12
    TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to 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: TB-11
Triple: [USS Farragut (TB-11), hullNumber, TB-11]
Generated description
TB-11 was the hull designation for USS Farragut, a United States Navy torpedo boat commissioned in the late 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TB-11
Target entity description: TB-11 was the hull designation for USS Farragut, a United States Navy torpedo boat commissioned in the late 19th century.
  • A. T-10
    T-10 is the station code for Nihonbashi Station on Tokyo Metro’s Tozai Line in central Tokyo.
  • B. TD-1A
    TD-1A was a European Space Research Organisation astronomical satellite dedicated primarily to ultraviolet sky surveys and stellar observations in the early 1970s.
  • C. TR-1A
    The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • D. CF-101B
    The CF-101B was a Canadian-operated interceptor version of the McDonnell F-101 Voodoo, adapted for air defense roles within the Royal Canadian Air Force and later the Canadian Armed Forces.
  • E. TX-12
    TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb598651081908286763ff56ba57c completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e0bdae08190acb94fe7d5471e4b completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ef4746c8190a0d722a5ea8147f9 completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d20f0ff8608190a0c15f1a03a71a69 completed April 5, 2026, 7:28 a.m.
Created at: March 30, 2026, 8:43 p.m.