Triple
T37664514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea Lantern |
E937790
|
entity |
| Predicate | isFullCube |
P188642
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sea Lantern, isFullCube, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFullCube Context triple: [Sea Lantern, isFullCube, true]
-
A.
isFullBlock
chosen
Indicates that one entity completely occupies or blocks the available space or capacity of another entity, leaving no remaining room.
-
B.
isSolid
Indicates that an entity exists in a solid physical state, maintaining a fixed shape and volume under normal conditions.
-
C.
numberOfVisibleCubiesOnStandardCube
Indicates the count of cubelets (small cube faces) that are visible on a standard cube from a given viewpoint or configuration.
-
D.
isSpaceFilling
Indicates that something completely occupies a given space or region without leaving gaps or overlaps.
-
E.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by 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_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.