Triple
T6161512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Ching |
E137453
|
entity |
| Predicate | numberOfTrigrams |
P69129
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [I Ching, numberOfTrigrams, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTrigrams Context triple: [I Ching, numberOfTrigrams, 8]
-
A.
lowerRightTrigram
Indicates that one entity is the trigram located in the lower-right position relative to another entity in a structured layout or grid.
-
B.
upperLeftTrigram
Indicates that one entity is the trigram located in the upper-left position relative to another entity in a structured arrangement.
-
C.
lowerLeftTrigram
Indicates that one entity is the trigram located in the lower-left position relative to another entity in a structured arrangement (such as a hexagram).
-
D.
digitForThree
Indicates that something serves as the numeral or symbol used to represent the number three.
-
E.
numberOfTruths
Indicates the quantity of statements or propositions that are true within a given context or set.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:17 p.m.