Triple
T37662098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zombie Villager (Minecraft) |
E937738
|
entity |
| Predicate | conversionChanceOnNormal |
P190547
|
FINISHED |
| Object | 50% |
—
|
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: 50% | Statement: [Zombie Villager (Minecraft), conversionChanceOnNormal, 50%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionChanceOnNormal Context triple: [Zombie Villager (Minecraft), conversionChanceOnNormal, 50%]
-
A.
conversionChanceOnHard
Indicates the probability that a conversion will occur when conditions are classified as "hard" or at a higher difficulty level.
-
B.
catchRate
Indicates the likelihood or frequency with which an attempt to catch or capture something will succeed.
-
C.
chanceElement
Indicates that the relationship or outcome involves randomness or probabilistic chance rather than being deterministic.
-
D.
conversionMode
Indicates the specific method or setting by which one form, unit, or representation is transformed into another.
-
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. 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.