Triple
T13280218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peoria tribe |
E316299
|
entity |
| Predicate | populationLossCause |
P71532
|
FINISHED |
| Object | epidemic diseases |
—
|
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: epidemic diseases | Statement: [Peoria tribe, populationLossCause, epidemic diseases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationLossCause Context triple: [Peoria tribe, populationLossCause, epidemic diseases]
-
A.
populationLoss
chosen
Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
-
B.
populationEstimateLoss
Indicates a reduction or decrease in a previously estimated population size.
-
C.
populationAfterDestruction
Indicates the size or composition of a population following an event of destruction or devastation.
-
D.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
E.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.