Triple

T27671303
Position Surface form Disambiguated ID Type / Status
Subject Cau Giay Park E697669 entity
Predicate isPartOf P10 FINISHED
Object Hanoi urban green space network
The Hanoi urban green space network is a system of interconnected parks, gardens, and natural areas across Vietnam’s capital designed to provide recreation, ecological benefits, and improved urban livability.
 E1782812 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: Hanoi urban green space network | Statement: [Cau Giay Park, isPartOf, Hanoi urban green space network]
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: Hanoi urban green space network
Triple: [Cau Giay Park, isPartOf, Hanoi urban green space network]
Generated description
The Hanoi urban green space network is a system of interconnected parks, gardens, and natural areas across Vietnam’s capital designed to provide recreation, ecological benefits, and improved urban livability.

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_69ef590d458c81909583290c3cd0478b completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f634a8cf6481909e5cb8c9868bd90b completed May 2, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12daa7ff388190823dee242c403896 completed May 24, 2026, 11:02 a.m.
NEDg Description generation batch_6a12db7fb30c81909db6659146e62c84 completed May 24, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a12dc2c4bd481909cd28377c260f7a3 completed May 24, 2026, 11:08 a.m.
Created at: April 27, 2026, 2:41 p.m.