Triple
T21216291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liushi Shan |
E522843
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kunlun Goddess |
—
|
NE NERFINISHED |
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: Kunlun Goddess | Statement: [Liushi Shan, hasAlternativeName, Kunlun Goddess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunlun Goddess Context triple: [Liushi Shan, hasAlternativeName, Kunlun Goddess]
-
A.
Kuangyin
Kuangyin, better known as Emperor Taizu of Song, was the founding emperor of China’s Song dynasty who reunified much of the country after the Five Dynasties and Ten Kingdoms period.
-
B.
Tianshi
Tianshi was the reign era name used by Emperor Daowu, the founding ruler of the Northern Wei dynasty in early medieval China.
-
C.
Bixia Yuanjun
chosen
Bixia Yuanjun is a prominent Taoist goddess of dawn, childbirth, and destiny, widely venerated in northern China and especially revered as the patron deity of Mount Tai.
-
D.
Queen Shen
Queen Shen was a consort of King You of Zhou during the late Western Zhou dynasty in ancient China.
-
E.
Xuan Dieu
Xuan Dieu is a popular street and neighborhood in Hanoi’s Tay Ho District, known for its lakeside views, expatriate community, and vibrant mix of cafes, restaurants, and shops.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73473870c8190a0f41f9c85567aa7 |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:41 p.m.