Triple

T11277560
Position Surface form Disambiguated ID Type / Status
Subject League of Communists of Croatia E266974 entity
Predicate shortName P43 FINISHED
Object SKH
SKH was the Croatian branch of the League of Communists of Yugoslavia, serving as the ruling communist party in the Socialist Republic of Croatia during the socialist era.
 E916403 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: SKH | Statement: [League of Communists of Croatia, shortName, SKH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SKH
Context triple: [League of Communists of Croatia, shortName, SKH]
  • A. KHS
    KHS is an Indian government institution dedicated to the promotion, teaching, and research of the Hindi language.
  • B. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • C. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • D. SKO
    SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
  • E. HKE
    HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • 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: SKH
Triple: [League of Communists of Croatia, shortName, SKH]
Generated description
SKH was the Croatian branch of the League of Communists of Yugoslavia, serving as the ruling communist party in the Socialist Republic of Croatia during the socialist era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SKH
Target entity description: SKH was the Croatian branch of the League of Communists of Yugoslavia, serving as the ruling communist party in the Socialist Republic of Croatia during the socialist era.
  • A. KHS
    KHS is an Indian government institution dedicated to the promotion, teaching, and research of the Hindi language.
  • B. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • C. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • D. SKO
    SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
  • E. HKE
    HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e967ebb4819080b09ed3cec44e77 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f455f0bc8190994c57264f775f60 completed April 19, 2026, 3:27 p.m.
NEDg Description generation batch_69e4f95be4b08190bebb2078406cb7ba completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff5881b8819080f9662a0c2d486d completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.