Triple

T24544145
Position Surface form Disambiguated ID Type / Status
Subject Hung Yen E607173 entity
Predicate isPartOfEconomicRegion P1027 FINISHED
Object Northern Key Economic Region
The Northern Key Economic Region is a major economic hub in northern Vietnam that includes several dynamic provinces and cities prioritized for industrial development, investment, and infrastructure growth.
 E1638241 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: Northern Key Economic Region | Statement: [Hung Yen, isPartOfEconomicRegion, Northern Key Economic Region]
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: Northern Key Economic Region
Triple: [Hung Yen, isPartOfEconomicRegion, Northern Key Economic Region]
Generated description
The Northern Key Economic Region is a major economic hub in northern Vietnam that includes several dynamic provinces and cities prioritized for industrial development, investment, and infrastructure growth.

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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8c72ce88190bba8567d7e5ad872 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0feea8d17c8190912b4efee020af73 completed May 22, 2026, 5:50 a.m.
NEDg Description generation batch_6a0fef6feb088190870b41df1edb338e completed May 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff097dd8881908bb83d84a6581ef7 completed May 22, 2026, 5:58 a.m.
Created at: April 18, 2026, 2:26 a.m.