Triple

T5691298
Position Surface form Disambiguated ID Type / Status
Subject Seediq E125432 entity
Predicate hasSubgroup P747 FINISHED
Object Toda
Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
 E539987 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: Toda | Statement: [Seediq, hasSubgroup, Toda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toda
Context triple: [Seediq, hasSubgroup, Toda]
  • A. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • B. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • C. Doala
    Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
  • D. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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: Toda
Triple: [Seediq, hasSubgroup, Toda]
Generated description
Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toda
Target entity description: Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • A. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • B. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • C. Doala
    Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
  • D. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e500ec8190bfda4f6a818aa5dc completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4baea481908b4766888fd3edf1 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05cfae55c81908658b4b5d5f03c96 completed March 22, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69c05e061ff88190b9387358cc8bc199 completed March 22, 2026, 9:24 p.m.
Created at: March 22, 2026, 3:44 p.m.