Triple

T16776653
Position Surface form Disambiguated ID Type / Status
Subject Texas State University System E407740 entity
Predicate hasAbbreviation P43 FINISHED
Object TSUS
TSUS is the abbreviation for the Texas State University System, a public university system serving multiple institutions across the state of Texas.
 E1233462 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: TSUS | Statement: [Texas State University System, hasAbbreviation, TSUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TSUS
Context triple: [Texas State University System, hasAbbreviation, TSUS]
  • A. KSUS
    KSUS is the ICAO airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • B. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • C. 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.
  • D. SUS
    SUS is a major Swedish university hospital and medical research center located in the Skåne region.
  • E. SUS
    SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
  • 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: TSUS
Triple: [Texas State University System, hasAbbreviation, TSUS]
Generated description
TSUS is the abbreviation for the Texas State University System, a public university system serving multiple institutions across the state of Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TSUS
Target entity description: TSUS is the abbreviation for the Texas State University System, a public university system serving multiple institutions across the state of Texas.
  • A. KSUS
    KSUS is the ICAO airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • B. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • C. 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.
  • D. SUS
    SUS is a major Swedish university hospital and medical research center located in the Skåne region.
  • E. SUS
    SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b03a646c8190b3944c9f0c25af27 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac0e10648190803bf962a4677104 completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.