Triple

T16951092
Position Surface form Disambiguated ID Type / Status
Subject Quichean–Mamean E411180 entity
Predicate hasSubbranch P1185 FINISHED
Object Mamean
Mamean is a subgroup of Mayan languages spoken primarily in the highlands of Guatemala and neighboring regions.
 E1243305 NE FINISHED

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: Mamean | Statement: [Quichean–Mamean, hasSubbranch, Mamean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mamean
Context triple: [Quichean–Mamean, hasSubbranch, Mamean]
  • A. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • B. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • C. Mamele
    Mamele is a classic 1938 Yiddish musical film starring Molly Picon as a devoted young woman juggling family responsibilities and her own desires in interwar Poland.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mamean
Triple: [Quichean–Mamean, hasSubbranch, Mamean]
Generated description
Mamean is a subgroup of Mayan languages spoken primarily in the highlands of Guatemala and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mamean
Target entity description: Mamean is a subgroup of Mayan languages spoken primarily in the highlands of Guatemala and neighboring regions.
  • A. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • B. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • C. Mamele
    Mamele is a classic 1938 Yiddish musical film starring Molly Picon as a devoted young woman juggling family responsibilities and her own desires in interwar Poland.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • F. None of above. chosen

Provenance (5 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb6e5fc8190b1bd3ad1c2773685 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5503be88190ac15a327ff3782ec completed May 10, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_6a00d66e450c8190ae0befd3d7875ed8 completed May 10, 2026, 7:03 p.m.
Created at: April 10, 2026, 5:31 a.m.