Triple

T28272827
Position Surface form Disambiguated ID Type / Status
Subject 荔湾区 E712901 entity
Predicate contains P35 FINISHED
Object 陈家祠
陈家祠是位于广州市的一座保存完好的清末民初岭南民间祠堂建筑群，以精美的砖雕、木雕和石雕艺术闻名，是重要的历史文化景点。
 E1812170 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: 陈家祠 | Statement: [荔湾区, contains, 陈家祠]
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: 陈家祠
Triple: [荔湾区, contains, 陈家祠]
Generated description
陈家祠是位于广州市的一座保存完好的清末民初岭南民间祠堂建筑群，以精美的砖雕、木雕和石雕艺术闻名，是重要的历史文化景点。

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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f64449425c81908d27b1a15e347b83 completed May 2, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1607203894819099bd7f27f3344def completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a161361ba748190b59b1155e7f27b98 completed May 26, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_6a1614891498819096109f9a10904797 completed May 26, 2026, 9:45 p.m.
Created at: April 27, 2026, 11:18 p.m.