Triple
T21086449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Tambora |
E519500
|
entity |
| Predicate | populationOutcome |
P142776
|
FINISHED |
| Object | population wiped out by eruption |
—
|
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: population wiped out by eruption | Statement: [Kingdom of Tambora, populationOutcome, population wiped out by eruption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationOutcome Context triple: [Kingdom of Tambora, populationOutcome, population wiped out by eruption]
-
A.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
B.
populationState
Indicates the condition or status of a population at a given point in time, such as its size, distribution, or demographic characteristics.
-
C.
populationPattern
Indicates how a population is distributed, structured, or changes over space or time in relation to other entities or conditions.
-
D.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
E.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
- F. None of above. chosen
Provenance (4 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ad1c08190a4b9d2668a6362b2 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:50 p.m.