Triple

T17442843

Position	Surface form	Disambiguated ID	Type / Status
Subject	马鞍山	`E424699`	entity
Predicate	hasScenicArea	`P29946`	FINISHED
Object	采石矶风景区采石矶风景区是位于安徽省马鞍山市长江岸边、以奇峭江崖、古迹遗存和李白诗酒文化闻名的历史文化风景名胜区。	`E424699`	NE FINISHED

How this triple was built (4 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: 采石矶风景区 | Statement: [马鞍山, hasScenicArea, 采石矶风景区]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: 采石矶风景区
Context triple: [马鞍山, hasScenicArea, 采石矶风景区]

A. 云龙山
云龙山是一座位于中国的山岳景区，以秀美的自然风光和人文景观而闻名。
B. 慈湖
慈湖 is a scenic lake in Taiwan known for its tranquil natural surroundings and historical significance as the site of the Cihu Mausoleum of former President Chiang Kai-shek.
C. 马鞍山
马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
D. 武当山
武当山是位于中国湖北省的著名道教名山和世界文化遗产，以其古建筑群和武当武术而闻名。
E. 香山公园
香山公园 is a historic imperial garden and popular scenic park in Beijing, famed for its wooded hills, autumn foliage, and traditional Chinese pavilions and temples.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

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: 采石矶风景区
Triple: [马鞍山, hasScenicArea, 采石矶风景区]

Generated description

采石矶风景区是位于安徽省马鞍山市长江岸边、以奇峭江崖、古迹遗存和李白诗酒文化闻名的历史文化风景名胜区。

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: 采石矶风景区
Target entity description: 采石矶风景区是位于安徽省马鞍山市长江岸边、以奇峭江崖、古迹遗存和李白诗酒文化闻名的历史文化风景名胜区。

A. 云龙山
云龙山是一座位于中国的山岳景区，以秀美的自然风光和人文景观而闻名。
B. 慈湖
慈湖 is a scenic lake in Taiwan known for its tranquil natural surroundings and historical significance as the site of the Cihu Mausoleum of former President Chiang Kai-shek.
C. 马鞍山 chosen
马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
D. 武当山
武当山是位于中国湖北省的著名道教名山和世界文化遗产，以其古建筑群和武当武术而闻名。
E. 香山公园
香山公园 is a historic imperial garden and popular scenic park in Beijing, famed for its wooded hills, autumn foliage, and traditional Chinese pavilions and temples.
F. None of above.

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_69d889db0ba481908402409af3b37917`	completed	April 10, 2026, 5:25 a.m.
NER	Named-entity recognition	`batch_69e44ff927ec8190995798f569e913ba`	completed	April 19, 2026, 3:46 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a01aff63d688190b8fa63c8edafc01c`	completed	May 11, 2026, 10:31 a.m.
NEDg	Description generation	`batch_6a01b0a265348190a884a58f3caf54df`	completed	May 11, 2026, 10:34 a.m.
NED2	Entity disambiguation (via description)	`batch_6a01b1b0553c8190bb76969fe95154ff`	completed	May 11, 2026, 10:38 a.m.

Created at: April 10, 2026, 5:47 a.m.