Triple

T14195265
Position Surface form Disambiguated ID Type / Status
Subject Western Area E351819 entity
Predicate hasMajorLanguage P207 FINISHED
Object Krio E91486 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: Krio | Statement: [Western Area, hasMajorLanguage, Krio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krio
Context triple: [Western Area, hasMajorLanguage, Krio]
  • A. Krio language chosen
    Krio is an English-based creole language spoken primarily in Sierra Leone, where it serves as a major lingua franca among diverse ethnic groups.
  • B. Kennyo
    Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
  • C. Kpelle
    Kpelle is a major Mande language spoken primarily in Liberia and Guinea by the Kpelle people.
  • D. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • E. Kankana-ey
    Kankana-ey is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.