Triple

T31834320
Position Surface form Disambiguated ID Type / Status
Subject 黄州区 E812624 entity
Predicate hasAttraction P105 FINISHED
Object 赤壁公园(黄州赤壁)
赤壁公园(黄州赤壁)是位于湖北省黄冈市黄州区、以苏轼“前赤壁赋”等赤壁文化和长江江景闻名的历史文化主题公园。
E1980558 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: 赤壁公园(黄州赤壁) | Statement: [黄州区, hasAttraction, 赤壁公园(黄州赤壁)]
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: 赤壁公园(黄州赤壁)
Triple: [黄州区, hasAttraction, 赤壁公园(黄州赤壁)]
Generated description
赤壁公园(黄州赤壁)是位于湖北省黄冈市黄州区、以苏轼“前赤壁赋”等赤壁文化和长江江景闻名的历史文化主题公园。

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_69f348ea7ffc8190a2ab43d80277cf59 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aff11a0c81909b8275327f29378a completed May 3, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e65a62f3081909d82df7f5287ecb4 completed June 14, 2026, 8:26 a.m.
NEDg Description generation batch_6a2e682ae8e08190bbdfbd08104a11b9 completed June 14, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_6a2e6b3d1ea08190a6e48fbf597d0782 completed June 14, 2026, 8:50 a.m.
Created at: April 30, 2026, 11:48 p.m.