Triple
T37662097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zombie Villager (Minecraft) |
E937738
|
entity |
| Predicate | conversionChanceOnHard |
P190415
|
FINISHED |
| Object | 100% |
—
|
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: 100% | Statement: [Zombie Villager (Minecraft), conversionChanceOnHard, 100%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionChanceOnHard Context triple: [Zombie Villager (Minecraft), conversionChanceOnHard, 100%]
-
A.
hardnessOfBeatingRandom
Indicates how difficult it is to defeat or outperform something when its behavior or outcome is determined randomly.
-
B.
impliesHardness
Indicates that one entity suggests, entails, or leads to the conclusion that another entity possesses hardness.
-
C.
showsHardnessOf
Indicates that something displays or reveals the degree of hardness possessed by another entity.
-
D.
hardness
Indicates the degree to which one entity resists being scratched, indented, or deformed by another.
-
E.
hasFailureProbability
Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
- 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_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:18 p.m.