Triple

T11455189
Position Surface form Disambiguated ID Type / Status
Subject Kohat University of Science and Technology E271507 entity
Predicate abbreviation P43 FINISHED
Object KUST
KUST is a public university in Kohat, Pakistan, known for its programs and research in science, technology, and related disciplines.
E925615 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: KUST | Statement: [Kohat University of Science and Technology, abbreviation, KUST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KUST
Context triple: [Kohat University of Science and Technology, abbreviation, KUST]
  • A. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • B. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • C. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • D. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • E. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • 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: KUST
Triple: [Kohat University of Science and Technology, abbreviation, KUST]
Generated description
KUST is a public university in Kohat, Pakistan, known for its programs and research in science, technology, and related disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KUST
Target entity description: KUST is a public university in Kohat, Pakistan, known for its programs and research in science, technology, and related disciplines.
  • A. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • B. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • C. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • D. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • E. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c7057688190ad8aa99426e4ca30 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3e197c881909db2e4e59c61c3c3 completed April 20, 2026, 7:21 a.m.
NEDg Description generation batch_69e5d5cc251081908b85f264940a6545 completed April 20, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69e5d924963c8190bfc55ffeb529a499 completed April 20, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:35 p.m.