Triple

T7014254

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cihu Lake	`E162659`	entity
Predicate	ChineseName	`P744`	FINISHED
Object	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.	`E634922`	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: 慈湖 | Statement: [Cihu Lake, ChineseName, 慈湖]

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

Target entity: 慈湖
Context triple: [Cihu Lake, ChineseName, 慈湖]

A. 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。
B. 富春江
富春江是中国浙江省境内一条以秀丽山水风光和人文景观著称的重要河流与旅游胜地。
C. 大沼
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
D. 六安
六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
E. 溪口
溪口是位于中国浙江省奉化区的一个历史悠久的小镇，以自然风光和民俗文化闻名。
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: 慈湖
Triple: [Cihu Lake, ChineseName, 慈湖]

Generated description

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.

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

Target entity: 慈湖
Target entity description: 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.

A. 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。
B. 富春江
富春江是中国浙江省境内一条以秀丽山水风光和人文景观著称的重要河流与旅游胜地。
C. 大沼
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
D. 六安
六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
E. 溪口
溪口是位于中国浙江省奉化区的一个历史悠久的小镇，以自然风光和民俗文化闻名。
F. None of above. chosen

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_69c6885a127c8190867b059bdccf13ff`	completed	March 27, 2026, 1:38 p.m.
NER	Named-entity recognition	`batch_69c6e1d31edc8190931655616d0739d1`	completed	March 27, 2026, 8 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69c76a53e96081909dfe21a80b20f80d`	completed	March 28, 2026, 5:42 a.m.
NEDg	Description generation	`batch_69c76b5301748190b0780ae20504f22c`	completed	March 28, 2026, 5:46 a.m.
NED2	Entity disambiguation (via description)	`batch_69c76c01679c8190b61f642c23c25ed5`	completed	March 28, 2026, 5:49 a.m.

Created at: March 27, 2026, 2:34 p.m.