Triple
T37661723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wither Skeleton Skull |
E937732
|
entity |
| Predicate | baseDropChance |
P200076
|
FINISHED |
| Object | 2.5% |
—
|
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: 2.5% | Statement: [Wither Skeleton Skull, baseDropChance, 2.5%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseDropChance Context triple: [Wither Skeleton Skull, baseDropChance, 2.5%]
-
A.
maxDropChanceWithLootingIII
Indicates the highest possible chance that an item will drop when the looting level is III.
-
B.
experienceDropRange
Indicates the range of experience points that can be obtained (dropped) as a result of a particular action or event.
-
C.
maximumDropQuantityWithLooting
Indicates the largest number of items that can be dropped when looting effects are applied.
-
D.
keyItemDropsFrom
Indicates that a specific key item is obtained as a drop from a particular source entity or event.
-
E.
isDisenchantable
Indicates that an item or object can be broken down or nullified using a disenchanting process.
- 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_69ff6fba1a5c8190a660279a6271d785 |
completed | May 9, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ff6f59388c8190a7d6ab7bc7705bc0 |
completed | May 9, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69ff6fb9691c819082ee2f3c648b7dc1 |
completed | May 9, 2026, 5:32 p.m. |
Created at: May 3, 2026, 4:18 p.m.