Triple

T35905074
Position Surface form Disambiguated ID Type / Status
Subject Black Tai people E1038449 entity
Predicate relatedGroup P37 FINISHED
Object Red Tai people
The Red Tai people are a Tai-speaking ethnic group of Southeast Asia, culturally and linguistically related to other Tai groups such as the Black Tai, with distinct traditional dress and customs.
E2211149 NE FINISHED

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: Red Tai people | Statement: [Black Tai people, relatedGroup, Red Tai people]
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: Red Tai people
Triple: [Black Tai people, relatedGroup, Red Tai people]
Generated description
The Red Tai people are a Tai-speaking ethnic group of Southeast Asia, culturally and linguistically related to other Tai groups such as the Black Tai, with distinct traditional dress and customs.

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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa6e55708190b705324a915b9265 completed May 3, 2026, 8:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c1749148190994a168e5329e623 completed June 26, 2026, 2:26 p.m.
NEDg Description generation batch_6a3e96557df881908bed0ebfb4f273bd completed June 26, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_6a3ec88e91b8819099fa4ea8ad0b9649 completed June 26, 2026, 6:44 p.m.
Created at: May 3, 2026, 4:07 p.m.