Triple

T6510036
Position Surface form Disambiguated ID Type / Status
Subject Maiwa language E150103 entity
Predicate isSpokenByEthnicGroup P17311 FINISHED
Object Maiwa
Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
E607573 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: Maiwa | Statement: [Maiwa language, isSpokenByEthnicGroup, Maiwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maiwa
Context triple: [Maiwa language, isSpokenByEthnicGroup, Maiwa]
  • A. Mawé
    Mawé is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • B. Miyakoan
    Miyakoan is a Ryukyuan language spoken primarily on the Miyako Islands of Japan, distinct from standard Japanese and recognized as endangered.
  • C. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • D. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • E. Tomia
    Tomia is an island in Indonesia’s Wakatobi archipelago, renowned for its pristine coral reefs and exceptional scuba diving and snorkeling sites.
  • 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: Maiwa
Triple: [Maiwa language, isSpokenByEthnicGroup, Maiwa]
Generated description
Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maiwa
Target entity description: Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
  • A. Mawé
    Mawé is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • B. Miyakoan
    Miyakoan is a Ryukyuan language spoken primarily on the Miyako Islands of Japan, distinct from standard Japanese and recognized as endangered.
  • C. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • D. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • E. Tomia
    Tomia is an island in Indonesia’s Wakatobi archipelago, renowned for its pristine coral reefs and exceptional scuba diving and snorkeling sites.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40ffb7081908f4dd4679bdefd85 completed March 27, 2026, 8:09 p.m.
NEDg Description generation batch_69c6e6470fe881908e759bc01bf1a54c completed March 27, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7cc21548190b302e2e31f9cadd0 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:43 p.m.