Triple

T2411274
Position Surface form Disambiguated ID Type / Status
Subject State University System of Florida E52193 entity
Predicate hasAbbreviation P43 FINISHED
Object SUS
SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
 E263947 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: SUS | Statement: [State University System of Florida, hasAbbreviation, SUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUS
Context triple: [State University System of Florida, hasAbbreviation, SUS]
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • C. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • D. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • E. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • 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: SUS
Triple: [State University System of Florida, hasAbbreviation, SUS]
Generated description
SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUS
Target entity description: SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • C. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • D. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • E. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc928fd608190885fcde6746a06bc completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3f00cc481909c2841a6f2ebadad completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb630b9588190a09652e9a3e65731 completed March 9, 2026, 11:59 a.m.
NED2 Entity disambiguation (via description) batch_69aeb68465608190b40e8be870b54ffb completed March 9, 2026, 12:01 p.m.
Created at: March 6, 2026, 9:41 p.m.