Triple

T12770533
Position Surface form Disambiguated ID Type / Status
Subject Karşıyaka S.K. E305236 entity
Predicate shortName P43 FINISHED
Object KSK E305236 NE FINISHED

How this triple was built (2 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: KSK | Statement: [Karşıyaka S.K., shortName, KSK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSK
Context triple: [Karşıyaka S.K., shortName, KSK]
  • A. KSK chosen
    KSK is the commonly used abbreviation for Karşıyaka S.K., a Turkish multi-sport club best known for its football and basketball teams.
  • B. Kosovo Protection Corps
    The Kosovo Protection Corps was a civilian emergency response and civil defense organization in post-war Kosovo, formed largely from former Kosovo Liberation Army members under international supervision.
  • C. ROK Armed Forces
    The ROK Armed Forces are the unified military forces of South Korea, responsible for the country's defense and security on land, at sea, and in the air.
  • D. KSCK
    KSCK is the ICAO airport code for Stockton Metropolitan Airport, a public airport serving Stockton, California.
  • E. Poznań Army
    The Poznań Army was a Polish field army that played a major role in the September 1939 campaign, notably launching a large counteroffensive against German forces during the Battle of the Bzura.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df4b36c81909bcc913dd5e535f8 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.