Triple
T37662096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zombie Villager (Minecraft) |
E937738
|
entity |
| Predicate | conversionCause |
P45854
|
FINISHED |
| Object | Zombie attack on villager |
—
|
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: Zombie attack on villager | Statement: [Zombie Villager (Minecraft), conversionCause, Zombie attack on villager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionCause Context triple: [Zombie Villager (Minecraft), conversionCause, Zombie attack on villager]
-
A.
reasonForConversion
chosen
Indicates the cause, motivation, or justification behind a particular conversion event or change.
-
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.
hasConversionIssueWith
Indicates that one entity experiences or is associated with a problem, error, or incompatibility when being converted to or from another entity.
-
D.
conversionEvent
Indicates that a user or entity has completed a desired target action (such as a purchase, signup, or other goal) that counts as a successful conversion.
-
E.
conversionMode
Indicates the specific method or setting by which one form, unit, or representation is transformed into another.
- 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_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:18 p.m.