Triple

T20072535
Position Surface form Disambiguated ID Type / Status
Subject Lega E499773 entity
Predicate usesObjectInRitual P7123 FINISHED
Object Lega mask NE NERFINISHED

How this triple was built (4 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: Lega mask | Statement: [Lega, usesObjectInRitual, Lega mask]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lega mask
Context triple: [Lega, usesObjectInRitual, Lega mask]
  • A. Lega-Shabunda
    Lega-Shabunda is a Bantu language spoken by the Lega people in the Shabunda region of the Democratic Republic of the Congo.
  • B. Mukudj mask
    The Mukudj mask is a traditional white-faced ceremonial mask of the Punu people of Gabon, often characterized by refined features and elaborate coiffures and used in dance performances and ancestral rites.
  • C. Lakki
    Lakki is a coastal town and main port on the Greek island of Leros in the Dodecanese.
  • D. Lestek
    Lestek is a masculine given name of Slavic origin, historically associated with early Polish rulers.
  • E. Maski
    Maski is a historic town in Karnataka, India, known for yielding one of the earliest Ashokan rock edicts that explicitly names the Mauryan emperor Ashoka.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lega mask
Target entity description: A Lega mask is a carved wooden face covering used by the Lega people of the Democratic Republic of Congo in initiation rites and moral instruction within their Bwami society.
  • A. Lega-Shabunda
    Lega-Shabunda is a Bantu language spoken by the Lega people in the Shabunda region of the Democratic Republic of the Congo.
  • B. Mukudj mask
    The Mukudj mask is a traditional white-faced ceremonial mask of the Punu people of Gabon, often characterized by refined features and elaborate coiffures and used in dance performances and ancestral rites.
  • C. Lakki
    Lakki is a coastal town and main port on the Greek island of Leros in the Dodecanese.
  • D. Lestek
    Lestek is a masculine given name of Slavic origin, historically associated with early Polish rulers.
  • E. Maski
    Maski is a historic town in Karnataka, India, known for yielding one of the earliest Ashokan rock edicts that explicitly names the Mauryan emperor Ashoka.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesObjectInRitual
Context triple: [Lega, usesObjectInRitual, Lega mask]
  • A. hasRitualObject chosen
    Indicates that an entity possesses, uses, or is associated with an object specifically employed in a ritual or ceremonial context.
  • B. usesRitually
    Indicates that an entity employs or performs something as part of a ritual or ceremonial practice.
  • C. appearsInRitual
    Indicates that an entity is included, featured, or participates as a component or element within a specific ritual.
  • D. hasRitualObjectMaterial
    Indicates that a ritual object is made from, composed of, or primarily constructed using a specified material.
  • E. roleInRitual
    Indicates the specific function, position, or responsibility an entity holds within a particular ritual or ceremonial activity.
  • F. None of above.

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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664392c748190a6cc472f80b8c74b completed April 20, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69e54cf369b88190931532420517dac7 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:40 p.m.