Triple
T37664584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skeleton (Java Edition, certain conditions) |
E937792
|
entity |
| Predicate | spawnReason |
P191739
|
FINISHED |
| Object | natural spawning |
—
|
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: natural spawning | Statement: [Skeleton (Java Edition, certain conditions), spawnReason, natural spawning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spawnReason Context triple: [Skeleton (Java Edition, certain conditions), spawnReason, natural spawning]
-
A.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
B.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
-
C.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
D.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
E.
reasonForCreation
Indicates that one entity was created for the purpose, cause, or motivation specified by another entity.
- 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_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:18 p.m.