Triple

T26451508
Position Surface form Disambiguated ID Type / Status
Subject Qinhuai River E665361 entity
Predicate ChineseName P744 FINISHED
Object 秦淮河
秦淮河是流经南京市区、以其繁华的历史文化景观和“十里秦淮”夜景闻名的古老河流。
 E1724490 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: 秦淮河 | Statement: [Qinhuai River, ChineseName, 秦淮河]
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: 秦淮河
Triple: [Qinhuai River, ChineseName, 秦淮河]
Generated description
秦淮河是流经南京市区、以其繁华的历史文化景观和“十里秦淮”夜景闻名的古老河流。

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_69ee883d5040819097dd154643005230 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612661bf08190897f910a6ade77cc completed May 2, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aed569ac81908bfb73dc5df4cd5c completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af68d97c81908ccb1af29de6b417 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b02e363c8190926886514d5ba6a0 completed May 23, 2026, 1:48 p.m.
Created at: April 27, 2026, 12:05 a.m.