Triple
T34545025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chinese Dragon |
E886900
|
entity |
| Predicate | portraysDragonAs |
P198977
|
FINISHED |
| Object | symbol of power |
—
|
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: symbol of power | Statement: [The Chinese Dragon, portraysDragonAs, symbol of power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysDragonAs Context triple: [The Chinese Dragon, portraysDragonAs, symbol of power]
-
A.
portraysSnakeAs
Indicates that one entity represents or depicts a snake in a particular way, often emphasizing certain traits, roles, or symbolic meanings.
-
B.
typeOfDragon
Indicates the specific kind or category of dragon that an entity belongs to.
-
C.
hasDragonCharacter
Indicates that an entity includes or features a character that is a dragon.
-
D.
dragon
Indicates that an entity is a dragon or is classified as belonging to the category of dragons.
-
E.
usedDragon
Indicates that one entity employed or controlled a dragon to perform some action or fulfill a purpose.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
| PDg | Predicate description generation | batch_69ff17bda59c8190b27c524f3e01c6df |
completed | May 9, 2026, 11:17 a.m. |
Created at: May 1, 2026, 2:02 a.m.