Triple

T13895056
Position Surface form Disambiguated ID Type / Status
Subject Sambalpur University E334065 entity
Predicate abbreviation P43 FINISHED
Object SU
SU is the commonly used abbreviation for Sambalpur University, a public university located in Sambalpur, Odisha, India.
 E1068072 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: [Sambalpur University, abbreviation, SU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SU
Context triple: [Sambalpur University, 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: [Sambalpur University, abbreviation, SU]
Generated description
SU is the commonly used abbreviation for Sambalpur University, a public university located in Sambalpur, Odisha, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SU
Target entity description: SU is the commonly used abbreviation for Sambalpur University, a public university located in Sambalpur, Odisha, India.
  • 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 is the common abbreviation for the Southern University Jaguars and Lady Jaguars athletic programs representing Southern University in collegiate sports.
  • E. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71eb1808190b0a3a28a8011e9c7 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c868bdfc8190a13379363d01568d completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c976e96c8190b59f46d9b758e8e2 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:15 p.m.