Triple
T12878556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baota Mountain |
E308027
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
宝塔山
宝塔山是位于中国陕西省延安市的一座著名山丘与地标性景区,以山顶的古塔和其在中国革命历史中的象征意义而闻名。
|
E1007785
|
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: 宝塔山 | Statement: [Baota Mountain, hasChineseName, 宝塔山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 宝塔山 Context triple: [Baota Mountain, hasChineseName, 宝塔山]
-
A.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
B.
北岳
北岳は山梨県に位置し、日本第二の高峰として知られる南アルプス(赤石山脈)の代表的な名山である。
-
C.
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。
-
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.
Tianmen Mountain
Tianmen Mountain is a famous scenic mountain in China renowned for its natural arch "Heaven’s Gate," winding cliffside roads, and one of the world’s longest cable car rides.
- 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: 宝塔山 Triple: [Baota Mountain, hasChineseName, 宝塔山]
Generated description
宝塔山是位于中国陕西省延安市的一座著名山丘与地标性景区,以山顶的古塔和其在中国革命历史中的象征意义而闻名。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 宝塔山 Target entity description: 宝塔山是位于中国陕西省延安市的一座著名山丘与地标性景区,以山顶的古塔和其在中国革命历史中的象征意义而闻名。
-
A.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
B.
北岳
北岳は山梨県に位置し、日本第二の高峰として知られる南アルプス(赤石山脈)の代表的な名山である。
-
C.
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。
-
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.
Tianmen Mountain
Tianmen Mountain is a famous scenic mountain in China renowned for its natural arch "Heaven’s Gate," winding cliffside roads, and one of the world’s longest cable car rides.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69df1032881909255e506ddfd9c9f |
completed | May 3, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69ea645a0819095edc112b9ed9bff |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 9, 2026, 5:38 p.m.