Triple
T20567114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiji (Great Ultimate) |
E504992
|
entity |
| Predicate | viewInZhuXi |
P140590
|
FINISHED |
| Object | immanent in all things |
—
|
LITERAL FINISHED |
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: immanent in all things | Statement: [Taiji (Great Ultimate), viewInZhuXi, immanent in all things]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewInZhuXi Context triple: [Taiji (Great Ultimate), viewInZhuXi, immanent in all things]
-
A.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
B.
viewOnSin
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
-
C.
viewsAtaiAs
Indicates that one entity holds a particular perception, opinion, or attitude toward Atai.
-
D.
Xiaoerjing
Indicates a relationship where something is written, represented, or transcribed using the Xiaoerjing (Arabic-based) script for Sinitic languages.
-
E.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
- F. None of above. chosen
Provenance (4 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a33f7c8190966da03528dfe8aa |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:39 a.m.