Triple

T13066084
Position Surface form Disambiguated ID Type / Status
Subject Suranaree University of Technology E329327 entity
Predicate abbreviation P43 FINISHED
Object SUT
SUT is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
 E1019139 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: SUT | Statement: [Suranaree University of Technology, abbreviation, SUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUT
Context triple: [Suranaree University of Technology, abbreviation, SUT]
  • A. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • B. SUT
    SUT is the National Rail station code for Sutton Coldfield railway station in the West Midlands, England.
  • C. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • D. SUS
    SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • E. SUS
    SUS is a major Swedish university hospital and medical research center located in the Skåne region.
  • 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: SUT
Triple: [Suranaree University of Technology, abbreviation, SUT]
Generated description
SUT is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUT
Target entity description: SUT is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
  • A. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • B. SUT
    SUT is the National Rail station code for Sutton Coldfield railway station in the West Midlands, England.
  • C. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • D. SUS
    SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • E. SUS
    SUS is a major Swedish university hospital and medical research center located in the Skåne region.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980eb81948190b27eb9ae19978079 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe630808190a9a3481127bbaa86 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6d039254881909927b58225f194de completed May 3, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6d0d218d4819080273a151a0890d3 completed May 3, 2026, 4:36 a.m.
Created at: April 9, 2026, 8:59 p.m.