Triple
T35910340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago (city in western Guatemala) |
E1038589
|
entity |
| Predicate | hasNearbyHazardSource |
P125520
|
FINISHED |
| Object | Santiaguito lava dome complex |
—
|
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: Santiaguito lava dome complex | Statement: [Santiago (city in western Guatemala), hasNearbyHazardSource, Santiaguito lava dome complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyHazardSource Context triple: [Santiago (city in western Guatemala), hasNearbyHazardSource, Santiaguito lava dome complex]
-
A.
locatedNearHazard
chosen
Indicates that one entity is situated in close physical proximity to a hazardous object, area, or condition.
-
B.
hasNearbySourceOf
Indicates that one entity is located close enough to another entity to serve as a relevant or accessible source of it.
-
C.
hazardSource
Indicates that an entity is the origin or cause of a potential danger, risk, or harmful effect to another entity or environment.
-
D.
hasHazardRelation
Indicates a relationship where one entity poses, contributes to, or is associated with a potential hazard or risk affecting another entity.
-
E.
hasObjectiveHazards
Indicates that an entity is associated with concrete, externally verifiable dangers or risks.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:07 p.m.