Triple

T7991817
Position Surface form Disambiguated ID Type / Status
Subject Patna University E186025 entity
Predicate abbreviation P43 FINISHED
Object PU
PU is the commonly used abbreviation for Patna University, a historic public university located in Patna, Bihar, India.
 E703688 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: PU | Statement: [Patna University, abbreviation, PU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PU
Context triple: [Patna University, abbreviation, PU]
  • A. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • B. PU
    PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
  • C. PLE
    PLE is the vehicle registration code assigned to motor vehicles registered in the city of Leszno, Poland.
  • D. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • E. PN
    PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
  • 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: PU
Triple: [Patna University, abbreviation, PU]
Generated description
PU is the commonly used abbreviation for Patna University, a historic public university located in Patna, Bihar, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PU
Target entity description: PU is the commonly used abbreviation for Patna University, a historic public university located in Patna, Bihar, India.
  • A. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • B. PU
    PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
  • C. PLE
    PLE is the vehicle registration code assigned to motor vehicles registered in the city of Leszno, Poland.
  • D. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • E. PN
    PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c712d0481908d163d2509d054fa completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0fe312c81908c6874fa0aabe7d5 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:16 p.m.