Triple
T32094931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yavanna |
E819699
|
entity |
| Predicate | createdWorldAspect |
P42853
|
FINISHED |
| Object | growing things of Arda |
—
|
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: growing things of Arda | Statement: [Yavanna, createdWorldAspect, growing things of Arda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdWorldAspect Context triple: [Yavanna, createdWorldAspect, growing things of Arda]
-
A.
worldCreator
Indicates a relationship where an entity is the originator or maker responsible for bringing a world into existence.
-
B.
addedWorldEvent
Indicates that an entity has introduced or created a world-level event within a broader context or system.
-
C.
entersWorld
Indicates that an entity comes into existence or begins to participate within a particular world or environment.
-
D.
createdFeature
chosen
Indicates that one entity brought another entity into existence or caused it to be produced as a feature.
-
E.
createdAround
Indicates that something was brought into existence or produced approximately at a particular time or within an imprecise time period.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: May 1, 2026, 12:25 a.m.