Triple

T11868439
Position Surface form Disambiguated ID Type / Status
Subject Lozi people E282344 entity
Predicate historicalName P65 FINISHED
Object Luyi E881053 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: Luyi | Statement: [Lozi people, historicalName, Luyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luyi
Context triple: [Lozi people, historicalName, Luyi]
  • A. Luyi chosen
    Luyi is an alternate name for the Luyana language, a Bantu language spoken primarily in western Zambia.
  • B. Jinyu
    Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
  • C. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • D. Muye
    Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
  • E. Zhuliany
    Zhuliany is a neighborhood in Kyiv, Ukraine, best known for hosting one of the city’s main international airports.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281a2abfc8190a4769e637dedaaab completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.