Triple
T5209884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinandega, Nicaragua |
E117604
|
entity |
| Predicate | hasNearbyVolcanicActivity |
P10443
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chinandega, Nicaragua, hasNearbyVolcanicActivity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyVolcanicActivity Context triple: [Chinandega, Nicaragua, hasNearbyVolcanicActivity, yes]
-
A.
hasVolcanicActivity
Indicates that the subject exhibits or is associated with ongoing or past volcanic processes, such as eruptions, lava flows, or related geothermal activity.
-
B.
nearVolcano
chosen
Indicates that one entity is located in close proximity to a volcano.
-
C.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
D.
isVolcanic
Indicates that something is characterized by or related to volcanic activity, such as originating from, produced by, or associated with a volcano.
-
E.
isVolcanicNeighborOf
Indicates that one geographic feature is located close enough to another volcanic feature that they are considered neighboring volcano-related entities.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a703e388190845dedd17252ddde |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.