Triple

T21844451
Position Surface form Disambiguated ID Type / Status
Subject Pamiri peoples E539338 entity
Predicate hasPart P35 FINISHED
Object Vanji people
The Vanji people are an Eastern Iranian ethnic group historically inhabiting the Vanj region of the Pamir Mountains, culturally and linguistically related to other Pamiri peoples.
E1700773 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: Vanji people | Statement: [Pamiri peoples, hasPart, Vanji 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: Vanji people
Triple: [Pamiri peoples, hasPart, Vanji people]
Generated description
The Vanji people are an Eastern Iranian ethnic group historically inhabiting the Vanj region of the Pamir Mountains, culturally and linguistically related to other Pamiri peoples.

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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd5248f08190ba208512eafbe7ad completed April 28, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec6f631c8190b4d549e69a7e1b47 completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10edf7ff0c8190935a637ff0df364b completed May 22, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a10ef6b80248190be0346728653b12a completed May 23, 2026, 12:06 a.m.
Created at: April 16, 2026, 6:55 p.m.