Triple
T18451710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunyu Mountain |
E450797
|
entity |
| Predicate | hasHeritage |
P1494
|
FINISHED |
| Object | Taoism |
—
|
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: Taoism | Statement: [Kunyu Mountain, hasHeritage, Taoism]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taoism Context triple: [Kunyu Mountain, hasHeritage, Taoism]
-
A.
Taoism
chosen
Taoism is an ancient Chinese philosophical and religious tradition centered on living in harmony with the Tao, emphasizing naturalness, simplicity, and spiritual cultivation.
-
B.
Confucianism
Confucianism is an ancient Chinese philosophical and ethical system based on the teachings of Confucius, emphasizing moral virtue, social harmony, and proper conduct in personal and political life.
-
C.
Sufism and Taoism
"Sufism and Taoism" is a comparative philosophical study that explores the parallels and intersections between Islamic mysticism and classical Chinese Taoist thought.
-
D.
Tao
Tao is a Chinese surname shared by numerous individuals, including the renowned mathematician Terence Tao.
-
E.
Tao
Tao is a central antagonist character in the Sleeper universe, known for opposing the protagonist’s goals and driving much of the story’s conflict.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52648476c8190a5d8c3297d836f62 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:31 a.m.