Triple
T37769103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potion of Regeneration |
E941491
|
entity |
| Predicate | conversionItem |
P65804
|
FINISHED |
| Object | Gunpowder |
—
|
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: Gunpowder | Statement: [Potion of Regeneration, conversionItem, Gunpowder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionItem Context triple: [Potion of Regeneration, conversionItem, Gunpowder]
-
A.
conversionDetails
Indicates the specific parameters, conditions, and outcomes associated with transforming one entity, state, or value into another.
-
B.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
C.
conversionUse
chosen
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
D.
conversionOfferedIn
Indicates that an opportunity to convert (e.g., change status, format, or type) is made available within or through a specified context, channel, or environment.
-
E.
convertedIn
Indicates that one entity has been transformed, changed, or translated into another form, state, or representation within a specified context.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:19 p.m.