Triple

T12674443
Position Surface form Disambiguated ID Type / Status
Subject Southern Jaguars and Lady Jaguars E302769 entity
Predicate abbreviation P43 FINISHED
Object SU
SU is the common abbreviation for the Southern University Jaguars and Lady Jaguars athletic programs representing Southern University in collegiate sports.
 E997499 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: SU | Statement: [Southern Jaguars and Lady Jaguars, abbreviation, SU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SU
Context triple: [Southern Jaguars and Lady Jaguars, abbreviation, SU]
  • A. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • B. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • C. SU
    SU is the station code used to identify Summerhill railway station.
  • D. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • E. SU
    SU is the vehicle registration code for the Rhein-Sieg-Kreis district in the German state of North Rhine-Westphalia.
  • 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: SU
Triple: [Southern Jaguars and Lady Jaguars, abbreviation, SU]
Generated description
SU is the common abbreviation for the Southern University Jaguars and Lady Jaguars athletic programs representing Southern University in collegiate sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SU
Target entity description: SU is the common abbreviation for the Southern University Jaguars and Lady Jaguars athletic programs representing Southern University in collegiate sports.
  • A. SU
    SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
  • B. SU
    SU is the common abbreviation for Sofia University "St. Kliment Ohridski," Bulgaria’s oldest and most prestigious higher education institution.
  • C. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. SU
    SU is the station code used to identify Summerhill railway station.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961af991c8190b6079cb57e593b8f completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a163188190b6077c77f9a81681 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672d16f8881908c6d5cfed0b3ec3a completed May 2, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69f67396fdac8190970068b2c39ad2f7 completed May 2, 2026, 9:58 p.m.
Created at: April 9, 2026, 5:20 p.m.