Triple

T2089378
Position Surface form Disambiguated ID Type / Status
Subject Timor–Babar languages E32631 entity
Predicate hasMember P10 FINISHED
Object Tokodede language
Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
E231078 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: Tokodede language | Statement: [Timor–Babar languages, hasMember, Tokodede language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokodede language
Context triple: [Timor–Babar languages, hasMember, Tokodede language]
  • A. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • E. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • 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: Tokodede language
Triple: [Timor–Babar languages, hasMember, Tokodede language]
Generated description
Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tokodede language
Target entity description: Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
  • A. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • E. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba730a5c8190a85be72149574d79 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2744d8108190b551a970956914c4 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27c0cc40819093dcbcb34e12ada2 completed March 9, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae2819ec2481908652e9165d1a6636 completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:43 p.m.