Triple
T17670988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mula Dam |
E440519
|
entity |
| Predicate | volumeContent_km3 |
P1567
|
FINISHED |
| Object | 0.0079 |
—
|
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: 0.0079 | Statement: [Mula Dam, volumeContent_km3, 0.0079]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeContent_km3 Context triple: [Mula Dam, volumeContent_km3, 0.0079]
-
A.
meanVolume_km3
Indicates the average volume of an entity, measured in cubic kilometers (km³), typically over a specified period or set of conditions.
-
B.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
C.
volume
chosen
Indicates the amount of three-dimensional space an entity occupies or contains.
-
D.
hasLog10ValueInCubicMetres
Indicates that an entity has a base-10 logarithmic value representing a volume measured in cubic metres.
-
E.
craterVolume
Indicates the measured or estimated three-dimensional space enclosed within a crater, typically quantifying the size of the depression formed by an impact or volcanic activity.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f68a038819084828ff73bcf1fcc |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:59 a.m.