Triple

T12957907
Position Surface form Disambiguated ID Type / Status
Subject Quaid-e-Awam University of Engineering, Science and Technology E310063 entity
Predicate shortName P43 FINISHED
Object QUEST
QUEST is a public engineering and science university in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
 E1013738 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: QUEST | Statement: [Quaid-e-Awam University of Engineering, Science and Technology, shortName, QUEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QUEST
Context triple: [Quaid-e-Awam University of Engineering, Science and Technology, shortName, QUEST]
  • A. QUE
    QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
  • B. QUE
    QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
  • C. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • D. Ask
    Ask was a rebranded version of the Ask Jeeves web search engine, offering general internet search services.
  • E. Que
    Que was an Iron Age Neo-Hittite kingdom located in Cilicia in southeastern Anatolia, known from Assyrian records and archaeological remains.
  • 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: QUEST
Triple: [Quaid-e-Awam University of Engineering, Science and Technology, shortName, QUEST]
Generated description
QUEST is a public engineering and science university in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QUEST
Target entity description: QUEST is a public engineering and science university in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
  • A. QUE
    QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
  • B. QUE
    QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
  • C. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • D. Ask
    Ask was a rebranded version of the Ask Jeeves web search engine, offering general internet search services.
  • E. Que
    Que was an Iron Age Neo-Hittite kingdom located in Cilicia in southeastern Anatolia, known from Assyrian records and archaeological remains.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dddd80819094c80ef405024419 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6ba0904e8819098bae29961bf0046 completed May 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 5:44 p.m.