Triple
T4380043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taal Volcano |
E99105
|
entity |
| Predicate | hasCraterLakeDiameter |
P4583
|
FINISHED |
| Object | about 2 kilometers |
—
|
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 2 kilometers | Statement: [Taal Volcano, hasCraterLakeDiameter, about 2 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCraterLakeDiameter Context triple: [Taal Volcano, hasCraterLakeDiameter, about 2 kilometers]
-
A.
craterLakeDepth
Indicates the depth measurement of a crater lake, typically from its surface to the deepest point.
-
B.
craterDiameter
Indicates the measured width of a crater from one rim edge to the opposite rim edge.
-
C.
summitCraterDiameter
chosen
Indicates the diameter of the crater located at the summit of a volcanic or mountainous feature.
-
D.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
E.
hasCraterLakeName
Indicates that an entity has, is associated with, or is identified by the name of a crater lake.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3524154dc81908532cdf997dcb802 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.