Triple

T5489413
Position Surface form Disambiguated ID Type / Status
Subject Punjabi University, Patiala E123662 entity
Predicate abbreviation P43 FINISHED
Object PUP
PUP is a public state university located in Patiala, Punjab, India, known for its focus on Punjabi language, literature, and cultural studies alongside a wide range of academic programs.
 E522521 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: PUP | Statement: [Punjabi University, Patiala, abbreviation, PUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PUP
Context triple: [Punjabi University, Patiala, abbreviation, PUP]
  • A. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • B. PUST
    PUST is the Pontifical University of St. Thomas Aquinas in Rome, a major Catholic institution of higher education specializing in philosophy and theology.
  • C. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • D. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • E. PUS
    PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
  • 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: PUP
Triple: [Punjabi University, Patiala, abbreviation, PUP]
Generated description
PUP is a public state university located in Patiala, Punjab, India, known for its focus on Punjabi language, literature, and cultural studies alongside a wide range of academic programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PUP
Target entity description: PUP is a public state university located in Patiala, Punjab, India, known for its focus on Punjabi language, literature, and cultural studies alongside a wide range of academic programs.
  • A. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • B. PUST
    PUST is the Pontifical University of St. Thomas Aquinas in Rome, a major Catholic institution of higher education specializing in philosophy and theology.
  • C. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • D. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • E. PUS
    PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927dcb848190a9d31e2435f8a755 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48ac6e7881908806f88056409b41 completed March 22, 2026, 1:41 a.m.
NEDg Description generation batch_69bf497a88b48190b87bf175fe224211 completed March 22, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a1f6e1c8190a9ae94e45fb16cf9 completed March 22, 2026, 1:47 a.m.
Created at: March 20, 2026, 2:10 p.m.