Triple
T37664763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warped Forest |
E937795
|
entity |
| Predicate | canGenerateStructureNearby |
P100797
|
FINISHED |
| Object | Nether fortress |
—
|
NE NERFINISHED |
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: Nether fortress | Statement: [Warped Forest, canGenerateStructureNearby, Nether fortress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canGenerateStructureNearby Context triple: [Warped Forest, canGenerateStructureNearby, Nether fortress]
-
A.
hasStructureOnOrAdjacent
Indicates that one entity has a physical structure located on it or immediately next to it.
-
B.
hasNearbyInfrastructureType
Indicates that an entity is located close to infrastructure of a specified type.
-
C.
canGenerateOn
Indicates that one entity has the capability to produce or create another entity specifically on or within a particular medium, platform, or context.
-
D.
hasNearbyLandscapeType
Indicates that one entity is located close to, or in the vicinity of, a particular type of landscape.
-
E.
spawnStructure
chosen
Indicates that an entity causes a new structure to be created or instantiated in the environment.
- 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_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:18 p.m.