Triple

T4438709
Position Surface form Disambiguated ID Type / Status
Subject University of the Punjab E95715 entity
Predicate alsoKnownAs P39 FINISHED
Object PU
PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
 E439919 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: [University of the Punjab, alsoKnownAs, PU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PU
Context triple: [University of the Punjab, alsoKnownAs, PU]
  • A. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • B. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • C. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • D. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • E. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • 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: [University of the Punjab, alsoKnownAs, PU]
Generated description
PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PU
Target entity description: PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • A. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • B. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • C. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • D. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • E. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558c75948190875a5fb10eac0597 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137b97748190b8ebecaf590baad3 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b615aea38481908ffe37feadeb9a4b completed March 15, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b61601898c81908e108f475f4b35d3 completed March 15, 2026, 2:14 a.m.
Created at: March 12, 2026, 11:31 p.m.