Triple

T10098002
Position Surface form Disambiguated ID Type / Status
Subject University-Student Union E215922 entity
Predicate abbreviation P43 FINISHED
Object U-SU
U-SU is the student union organization representing and serving university students through advocacy, events, and campus services.
 E840015 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: U-SU | Statement: [University-Student Union, abbreviation, U-SU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U-SU
Context triple: [University-Student Union, abbreviation, U-SU]
  • A. USZ
    USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
  • B. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • C. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • D. SU
    SU is the common abbreviation for Sofia University "St. Kliment Ohridski," Bulgaria’s oldest and most prestigious higher education institution.
  • E. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • 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: U-SU
Triple: [University-Student Union, abbreviation, U-SU]
Generated description
U-SU is the student union organization representing and serving university students through advocacy, events, and campus services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U-SU
Target entity description: U-SU is the student union organization representing and serving university students through advocacy, events, and campus services.
  • A. USZ
    USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
  • B. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • 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. 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd07c0e248190b4ab450e0b83ea0c completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6c218b08190853b0979296e2f83 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b790cc188190b5c16c89beaa8aca completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b81e7b948190baa417186aac284b completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 9:02 p.m.