Triple

T24028144
Position Surface form Disambiguated ID Type / Status
Subject Văn Tiến Dũng E595021 entity
Predicate citizenship P2 FINISHED
Object Socialist Republic of Vietnam
The Socialist Republic of Vietnam is a Southeast Asian socialist state known for its one-party communist government, rapid post-war economic growth, and rich cultural and historical heritage.
E4138 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: Socialist Republic of Vietnam | Statement: [Văn Tiến Dũng, citizenship, Socialist Republic of Vietnam]
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: Socialist Republic of Vietnam
Triple: [Văn Tiến Dũng, citizenship, Socialist Republic of Vietnam]
Generated description
The Socialist Republic of Vietnam is a Southeast Asian socialist state known for its one-party communist government, rapid post-war economic growth, and rich cultural and historical heritage.

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_69e288bf45f08190a1b6ed8cd0b9e86b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d76d393c8190ae9b1b9e43fe0efa completed April 29, 2026, 10:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc999c8588190a9e97af3be2fa02d completed May 22, 2026, 3:12 a.m.
NEDg Description generation batch_6a0fce0b7df88190b0304c274f485d26 completed May 22, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0fce8d480081909bcf9cadce8a11aa completed May 22, 2026, 3:33 a.m.
Created at: April 17, 2026, 9:54 p.m.