Triple
T1840738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 Indian Ocean earthquake and tsunami |
E41170
|
entity |
| Predicate | deadliestInCountry |
P30647
|
FINISHED |
| Object | deadliest natural disaster in Indonesia’s recorded history |
—
|
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: deadliest natural disaster in Indonesia’s recorded history | Statement: [2004 Indian Ocean earthquake and tsunami, deadliestInCountry, deadliest natural disaster in Indonesia’s recorded history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deadliestInCountry Context triple: [2004 Indian Ocean earthquake and tsunami, deadliestInCountry, deadliest natural disaster in Indonesia’s recorded history]
-
A.
deadliestIn
chosen
Indicates that something has the highest lethality or causes the most deaths within a specified context, group, or location.
-
B.
deathTollEstimate
Indicates an estimated number of deaths attributed to a particular event, cause, or period.
-
C.
deathToll
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
D.
countryOfDeath
Indicates the country in which an entity (typically a person) died.
-
E.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.