Triple

T18767316
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Valley languages E458924 entity
Predicate hasMember P10 FINISHED
Object Malaweg language NE NERFINISHED

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: Malaweg language | Statement: [Cagayan Valley languages, hasMember, Malaweg language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaweg language
Context triple: [Cagayan Valley languages, hasMember, Malaweg language]
  • A. Malaweg language chosen
    The Malaweg language is an Austronesian language spoken primarily in the northern Philippines, particularly in parts of Cagayan province, by the Malaweg ethnic group.
  • B. Marakwet language
    The Marakwet language is a Southern Nilotic language spoken by the Marakwet people of Kenya and is closely related to other Kalenjin languages such as Kipsigis.
  • C. Malasanga language
    The Malasanga language is an Oceanic language spoken in Papua New Guinea, belonging to the Kula–Malasanga subgroup of the Austronesian language family.
  • D. Tembe language
    The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
  • E. Silozi language
    The Silozi language is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d859c8081909cec3aa64d264885 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.