Triple

T7176488
Position Surface form Disambiguated ID Type / Status
Subject BJK E167332 entity
Predicate nickname P55 FINISHED
Object Kara Kartallar E167330 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: Kara Kartallar | Statement: [BJK, nickname, Kara Kartallar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kara Kartallar
Context triple: [BJK, nickname, Kara Kartallar]
  • A. Kara Kartallar chosen
    Kara Kartallar is the famous Turkish nickname meaning "Black Eagles," commonly used to refer to the football club Beşiktaş JK and its supporters.
  • B. Canan Karatay
    Canan Karatay is a Turkish cardiologist and academic known for her influential and often controversial views on nutrition and healthy living.
  • C. Kara Osman
    Kara Osman, better known as Osman I, was the founder and first ruler of the Ottoman Empire in the late 13th and early 14th centuries.
  • D. Kubra Balik
    Kubra Balik is a powerful and ruthless international drug trafficker who serves as a major antagonist in the television series "Orange Is the New Black."
  • E. Katja Sekerci
    Katja Sekerci is the central protagonist of the German drama film "In the Fade," around whom the story of grief, revenge, and the aftermath of a neo-Nazi terrorist attack revolves.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e89022d48190a112c24df79ab62f completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbdf32d48190a2d24914c3529160 completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 2:49 p.m.