Triple
T37662118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zombie Villager (Minecraft) |
E937738
|
entity |
| Predicate | mayDropItem |
P57946
|
FINISHED |
| Object | Equipment it is wearing or holding |
—
|
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: Equipment it is wearing or holding | Statement: [Zombie Villager (Minecraft), mayDropItem, Equipment it is wearing or holding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayDropItem Context triple: [Zombie Villager (Minecraft), mayDropItem, Equipment it is wearing or holding]
-
A.
mayRemove
Indicates that one entity is permitted or authorized to remove another entity or its association.
-
B.
hasDropType
chosen
Indicates that an entity is associated with a specific type or category of drop (e.g., item, reward, or resource obtained).
-
C.
mayReject
Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
-
D.
mayTake
Indicates that an entity is permitted or allowed to take, enroll in, or participate in another entity (such as a course, resource, or opportunity).
-
E.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
- 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.