Triple
T24841085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinyero Special Nature Reserve |
E621613
|
entity |
| Predicate | volcanoContained |
P6356
|
FINISHED |
| Object | Chinyero |
—
|
NE NERFINISHED |
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: Chinyero | Statement: [Chinyero Special Nature Reserve, volcanoContained, Chinyero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volcanoContained Context triple: [Chinyero Special Nature Reserve, volcanoContained, Chinyero]
-
A.
containsVolcanicRegion
Indicates that one entity geographically includes or encompasses an area characterized by volcanic features or activity.
-
B.
isPartOfVolcanicSystem
Indicates that one entity belongs to, or is a component within, a larger volcanic system or complex.
-
C.
hasVolcano
chosen
Indicates that one entity possesses, contains, or is the location of a volcano.
-
D.
volcanicProvince
Indicates a relationship where a geographic area is classified as a volcanic province, meaning it is characterized by related volcanic features or activity.
-
E.
associatedVolcano
Indicates that there is a specific volcano linked or connected to the referenced entity, such as by location, impact, or relevance.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:18 a.m.