Triple
T5436492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tambora village |
E122018
|
entity |
| Predicate | preDestructionPopulation |
P64057
|
FINISHED |
| Object | several thousand inhabitants (approximate) |
—
|
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: several thousand inhabitants (approximate) | Statement: [Tambora village, preDestructionPopulation, several thousand inhabitants (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preDestructionPopulation Context triple: [Tambora village, preDestructionPopulation, several thousand inhabitants (approximate)]
-
A.
predecessorPopulation
Indicates that one population entity is the immediate prior version or state of another population entity in a temporal or evolutionary sequence.
-
B.
afterDestruction
Indicates that one event, state, or condition occurs subsequent to and as a result of a prior act of destruction.
-
C.
destroyedDuring
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
D.
predecessorDestroyed
Indicates that one entity has caused the destruction or elimination of another entity that existed or acted before it.
-
E.
reducedPopulationOf
Indicates a relationship where one entity has caused a decrease in the size or number of individuals in a population of another entity.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:07 p.m.