Triple

T3062863
Position Surface form Disambiguated ID Type / Status
Subject Kyiv Polytechnic Institute E62035 entity
Predicate shortName P43 FINISHED
Object KPI
KPI is a major Ukrainian technical university in Kyiv, renowned for its engineering, science, and technology programs.
 E323255 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: KPI | Statement: [Kyiv Polytechnic Institute, shortName, KPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KPI
Context triple: [Kyiv Polytechnic Institute, shortName, KPI]
  • A. KPBI
    KPBI is the ICAO airport code for Palm Beach International Airport, a major commercial airport serving the West Palm Beach area in Florida, United States.
  • B. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • C. KAP
    KAP is the common abbreviation for Kappa Alpha Psi, a historically African American collegiate Greek-letter fraternity founded in 1911.
  • D. KP
    KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • E. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • 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: KPI
Triple: [Kyiv Polytechnic Institute, shortName, KPI]
Generated description
KPI is a major Ukrainian technical university in Kyiv, renowned for its engineering, science, and technology programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KPI
Target entity description: KPI is a major Ukrainian technical university in Kyiv, renowned for its engineering, science, and technology programs.
  • A. KPBI
    KPBI is the ICAO airport code for Palm Beach International Airport, a major commercial airport serving the West Palm Beach area in Florida, United States.
  • B. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • C. KAP
    KAP is the common abbreviation for Kappa Alpha Psi, a historically African American collegiate Greek-letter fraternity founded in 1911.
  • D. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • E. KP
    KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea088fc819090b9d5bbcb268671 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef118cb48190a1f666ead7c19a12 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1f1291670819083866bd4950d4124 completed March 11, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b1f1990be08190bfa83c08323c5d40 completed March 11, 2026, 10:50 p.m.
Created at: March 8, 2026, 3:02 p.m.