Triple
T17202290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamban |
E417504
|
entity |
| Predicate | hasNaturalHazardHistory |
P92510
|
FINISHED |
| Object | lahar flows from Mount Pinatubo |
—
|
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: lahar flows from Mount Pinatubo | Statement: [Bamban, hasNaturalHazardHistory, lahar flows from Mount Pinatubo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNaturalHazardHistory Context triple: [Bamban, hasNaturalHazardHistory, lahar flows from Mount Pinatubo]
-
A.
hasNaturalHazardRisk
Indicates that an entity is exposed or subject to potential damage or impact from one or more natural hazards (e.g., earthquakes, floods, storms).
-
B.
frequentNaturalHazard
Indicates that a location or area regularly experiences natural hazards such as floods, earthquakes, storms, or similar events with notable frequency.
-
C.
historicallyProneTo
chosen
Indicates that an entity has repeatedly or characteristically experienced or exhibited a particular condition, behavior, or event over a significant period in the past.
-
D.
geologicHazardLevel
Indicates the degree of potential danger or risk posed by geologic processes or conditions at a given location.
-
E.
geologicalHazardZoneFor
Indicates a relationship where a specified area or zone is identified as being at risk from a particular geological hazard (such as earthquakes, landslides, or volcanic activity).
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.