Triple

T3940672
Position Surface form Disambiguated ID Type / Status
Subject Kauffman Stadium E92025 entity
Predicate hasNickname P39 FINISHED
Object The K E92025 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: The K | Statement: [Kauffman Stadium, hasNickname, The K]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The K
Context triple: [Kauffman Stadium, hasNickname, The K]
  • A. The K chosen
    The K is the popular nickname for Kauffman Stadium, the longtime home ballpark of Major League Baseball’s Kansas City Royals.
  • B. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • C. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • D. K4
    K4 is an alternative name for Gasherbrum II, one of the world’s fourteen 8,000-meter peaks located in the Karakoram range on the China–Pakistan border.
  • E. K
    K is the line designation used for Los Angeles Metro's K Line light rail service.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfc88e4819084adefb695b975c5 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52894cb94819099d023745fcaebbc completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:24 p.m.