Triple
T5951458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biosphere 2 |
E132406
|
entity |
| Predicate | enclosedVolume |
P1567
|
FINISHED |
| Object | about 200000 cubic meters |
—
|
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: about 200000 cubic meters | Statement: [Biosphere 2, enclosedVolume, about 200000 cubic meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enclosedVolume Context triple: [Biosphere 2, enclosedVolume, about 200000 cubic meters]
-
A.
pressurizedVolume
Indicates that a specified volume is maintained at a pressure different from ambient (typically higher), often as part of a controlled or sealed system.
-
B.
foundInVolume
Indicates that one entity is physically or logically contained within, or occurs in, a specific volume (such as a book volume, data volume, or bounded collection).
-
C.
volume
chosen
Indicates the amount of three-dimensional space an entity occupies or contains.
-
D.
enclosesArea
Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
-
E.
trunkVolume
Indicates the volume or capacity of an entity’s trunk or main storage compartment.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.