Triple
T37662530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potion of Weakness |
E937747
|
entity |
| Predicate | curingStepWith |
P84200
|
FINISHED |
| Object | golden apple |
—
|
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: golden apple | Statement: [Potion of Weakness, curingStepWith, golden apple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curingStepWith Context triple: [Potion of Weakness, curingStepWith, golden apple]
-
A.
curedWith
chosen
Indicates that one entity is treated or healed by using another entity as the remedy or therapeutic method.
-
B.
stepping
Indicates that an entity is moving its foot or feet to take a step, often as part of walking or changing position.
-
C.
lifecycleStep
Indicates the specific phase or stage an entity is currently in within its overall lifecycle or progression.
-
D.
finalStep
Indicates that an action or state represents the last step or concluding stage in a process or sequence.
-
E.
stepQuality
Indicates the degree or standard of how well a particular step or stage in a process is performed or executed.
- F. None of above.
Provenance (3 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.