Triple

T30476161
Position Surface form Disambiguated ID Type / Status
Subject Bến Nhà Rồng E775448 entity
Predicate hasAlternativeName P39 FINISHED
Object Dragon Wharf
Dragon Wharf is a historic riverside port in Ho Chi Minh City, Vietnam, best known as the place from which Ho Chi Minh departed in 1911 to begin his journey seeking a path for national liberation.
E1920483 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: Dragon Wharf | Statement: [Bến Nhà Rồng, hasAlternativeName, Dragon Wharf]
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: Dragon Wharf
Triple: [Bến Nhà Rồng, hasAlternativeName, Dragon Wharf]
Generated description
Dragon Wharf is a historic riverside port in Ho Chi Minh City, Vietnam, best known as the place from which Ho Chi Minh departed in 1911 to begin his journey seeking a path for national liberation.

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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687192fc88190abd451b2941b421e completed May 2, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be62f5108190a768de1acc3b50a1 completed June 9, 2026, 7:18 a.m.
NEDg Description generation batch_6a27cd70b8c48190b91a8e40daa5666f completed June 9, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_6a27ce0317388190885f99fd878829c3 completed June 9, 2026, 8:25 a.m.
Created at: April 29, 2026, 8:11 p.m.