Triple

T19845963
Position Surface form Disambiguated ID Type / Status
Subject CTU in Prague E476859 entity
Predicate abbreviation P43 FINISHED
Object CTU
CTU is a major technical university in Prague known for its engineering and technology programs.
E1399215 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: CTU | Statement: [CTU in Prague, abbreviation, CTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTU
Context triple: [CTU in Prague, abbreviation, CTU]
  • A. CTU
    CTU is a commonly used abbreviation that can refer to various organizations or concepts, most notably the Counter Terrorist Unit in the television series "24."
  • B. CTU New York
    CTU New York is a fictional Counter Terrorist Unit branch in the "24" television series, serving as a key hub for U.S. national security operations in New York City.
  • C. CTC
    CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
  • D. CTC
    CTC is the station code for Cuttack Junction, a major railway station in the Indian state of Odisha.
  • E. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • 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: CTU
Triple: [CTU in Prague, abbreviation, CTU]
Generated description
CTU is a major technical university in Prague known for its engineering and technology programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CTU
Target entity description: CTU is a major technical university in Prague known for its engineering and technology programs.
  • A. CTU
    CTU is a commonly used abbreviation that can refer to various organizations or concepts, most notably the Counter Terrorist Unit in the television series "24."
  • B. CTU New York
    CTU New York is a fictional Counter Terrorist Unit branch in the "24" television series, serving as a key hub for U.S. national security operations in New York City.
  • C. CTC
    CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
  • D. CTC
    CTC is the station code for Cuttack Junction, a major railway station in the Indian state of Odisha.
  • E. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658091c608190b4eb9bcedd88e147 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d43cfb388190b48f433c00026617 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d81e5bc881909b109afa7cf71384 completed May 16, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a07d91c50648190a2a9f13daad545fd completed May 16, 2026, 2:40 a.m.
Created at: April 10, 2026, 1:51 p.m.