Triple

T33248731
Position Surface form Disambiguated ID Type / Status
Subject Fangsheng Bridge E851177 entity
Predicate hasChineseName P4878 FINISHED
Object 放生桥
放生桥是一座位于中国江南水乡古镇（如上海朱家角）上的历史石拱桥，以其传统建筑风格和周边水乡风貌而闻名。
 E2043502 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: 放生桥 | Statement: [Fangsheng Bridge, hasChineseName, 放生桥]
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: 放生桥
Triple: [Fangsheng Bridge, hasChineseName, 放生桥]
Generated description
放生桥是一座位于中国江南水乡古镇（如上海朱家角）上的历史石拱桥，以其传统建筑风格和周边水乡风貌而闻名。

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_69f34962386c81909ddc3bf9e18ddeb8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6db20883081908337b701eec95d74 completed May 3, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35390f8d58819090d5b1d13685617a completed June 19, 2026, 12:41 p.m.
NEDg Description generation batch_6a3539d6f5448190aee35547822a99ff completed June 19, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a353abc2f7c8190bb5843c25bb84256 completed June 19, 2026, 12:49 p.m.
Created at: May 1, 2026, 1:31 a.m.