Triple
T8251607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyiragongo |
E192970
|
entity |
| Predicate | hasLavaLakeDepth |
P81200
|
FINISHED |
| Object | up to several hundred 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: up to several hundred meters | Statement: [Nyiragongo, hasLavaLakeDepth, up to several hundred meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLavaLakeDepth Context triple: [Nyiragongo, hasLavaLakeDepth, up to several hundred meters]
-
A.
hasLavaLake
Indicates that one entity contains or features a lake of molten lava associated with another entity.
-
B.
hasSourceLake
Indicates that something originates from, or has its source in, a particular lake.
-
C.
hasLowerLake
Indicates that one lake is situated at a lower elevation or downstream position relative to another lake.
-
D.
hasAverageDepth
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
-
E.
hasLavaFlow
Indicates that one entity exhibits, contains, or is associated with a flow of lava originating from volcanic activity.
- F. None of above. chosen
Provenance (4 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78ca4b0881909bb1fb550dba59e7 |
completed | March 31, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb44d1caa881909069fa925a91316b |
completed | March 31, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.