Triple

T14924282
Position Surface form Disambiguated ID Type / Status
Subject Syracuse Orange men's lacrosse E371592 entity
Predicate abbreviation P43 FINISHED
Object SU
SU is the commonly used abbreviation for Syracuse University, a major private research institution in Syracuse, New York, known for its prominent athletic programs.
 E1126320 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: [Syracuse Orange men's lacrosse, abbreviation, SU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SU
Context triple: [Syracuse Orange men's lacrosse, abbreviation, SU]
  • A. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • B. SU
    SU is the station code used to identify Summerhill railway station.
  • C. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • D. SU
    SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
  • E. SU
    SU is the common abbreviation for the Southern University Jaguars and Lady Jaguars athletic programs representing Southern University in collegiate sports.
  • 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: [Syracuse Orange men's lacrosse, abbreviation, SU]
Generated description
SU is the commonly used abbreviation for Syracuse University, a major private research institution in Syracuse, New York, known for its prominent athletic programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SU
Target entity description: SU is the commonly used abbreviation for Syracuse University, a major private research institution in Syracuse, New York, known for its prominent athletic programs.
  • A. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • B. SU
    SU is the common abbreviation for the Southern University Jaguars and Lady Jaguars athletic programs representing Southern University in collegiate sports.
  • C. SU
    SU is the commonly used abbreviation for Sambalpur University, a public university located in Sambalpur, Odisha, India.
  • D. SU
    SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
  • E. SU
    SU is the common abbreviation for Sofia University "St. Kliment Ohridski," Bulgaria’s oldest and most prestigious higher education institution.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6323f8c8190af02d06352d459c3 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c3185c8190af2cd0329d701caa completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe73dd1058819081e6c44a9684faa8 completed May 8, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe749bded08190ac872fddbd5d3004 completed May 8, 2026, 11:41 p.m.
Created at: April 10, 2026, 2:34 a.m.