Triple

T14243631
Position Surface form Disambiguated ID Type / Status
Subject Makhuwa languages E353073 entity
Predicate hasMember P10 FINISHED
Object Sengage language
Sengage is a Bantu language variety belonging to the Makhuwa language cluster spoken in parts of Mozambique.
E1088418 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: Sengage language | Statement: [Makhuwa languages, hasMember, Sengage language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sengage language
Context triple: [Makhuwa languages, hasMember, Sengage language]
  • A. Language
    Language is a leading peer-reviewed linguistics journal known for publishing influential research and critical reviews in the field, including Noam Chomsky’s landmark 1959 critique of behaviorist theories.
  • B. Gen language
    Gen is a Gbe language of the Niger-Congo family spoken primarily in Togo and Benin, closely related to Ewe and used by the Gen (Mina) people.
  • C. Lang
    Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
  • D. Lang
    Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
  • E. For language
    For language is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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: Sengage language
Triple: [Makhuwa languages, hasMember, Sengage language]
Generated description
Sengage is a Bantu language variety belonging to the Makhuwa language cluster spoken in parts of Mozambique.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sengage language
Target entity description: Sengage is a Bantu language variety belonging to the Makhuwa language cluster spoken in parts of Mozambique.
  • A. Language
    Language is a leading peer-reviewed linguistics journal known for publishing influential research and critical reviews in the field, including Noam Chomsky’s landmark 1959 critique of behaviorist theories.
  • B. Gen language
    Gen is a Gbe language of the Niger-Congo family spoken primarily in Togo and Benin, closely related to Ewe and used by the Gen (Mina) people.
  • C. Lang
    Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
  • D. Lang
    Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
  • E. For language
    For language is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6245d6a481909ef665748cd4d64c completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28235880819094f5983cce01b0fc completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2b2363f881909e04edd850166dd5 completed May 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd2cf1a1248190a97644dadf1717bc completed May 8, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:08 a.m.