Triple

T6430675
Position Surface form Disambiguated ID Type / Status
Subject Communist Youth of Greece E128169 entity
Predicate shortName P43 FINISHED
Object KNE
KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
E591801 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: KNE | Statement: [Communist Youth of Greece, shortName, KNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNE
Context triple: [Communist Youth of Greece, shortName, KNE]
  • A. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • B. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • C. Knv
    Knv is the station code for Knivsta railway station in Sweden.
  • D. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • E. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • 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: KNE
Triple: [Communist Youth of Greece, shortName, KNE]
Generated description
KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KNE
Target entity description: KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
  • A. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • B. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • C. Knv
    Knv is the station code for Knivsta railway station in Sweden.
  • D. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • E. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693b872c819082a7d0e257018831 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e9ae8481909229bcf6d5e793d3 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c641ff05c08190ab9526b095b038fa completed March 27, 2026, 8:38 a.m.
NED2 Entity disambiguation (via description) batch_69c642a344e48190bccb0f0d122fca4c completed March 27, 2026, 8:41 a.m.
Created at: March 22, 2026, 4:44 p.m.