Triple
T21942387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son Doong Cave |
E541852
|
entity |
| Predicate | maximumChamberVolume |
P98818
|
FINISHED |
| Object | over 38 million 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: over 38 million cubic meters | Statement: [Son Doong Cave, maximumChamberVolume, over 38 million cubic meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumChamberVolume Context triple: [Son Doong Cave, maximumChamberVolume, over 38 million cubic meters]
-
A.
maximumChamberHeight
Indicates the greatest vertical distance from the lowest to the highest point within a specified chamber.
-
B.
maximumVolumeSize
Indicates the largest allowable size or capacity that a volume can have within a given system or context.
-
C.
chamberSize
Indicates the relative capacity or dimensions of a chamber in relation to a specified reference or standard.
-
D.
volumeOf
chosen
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
E.
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.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:56 p.m.