Triple
T9400063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaredites |
E226443
|
entity |
| Predicate | populationTrajectory |
P77704
|
FINISHED |
| Object | grew to a large nation then declined |
—
|
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: grew to a large nation then declined | Statement: [Jaredites, populationTrajectory, grew to a large nation then declined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationTrajectory Context triple: [Jaredites, populationTrajectory, grew to a large nation then declined]
-
A.
populationPattern
chosen
Indicates how a population is distributed, structured, or changes over space or time in relation to other entities or conditions.
-
B.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
C.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
D.
plannedPopulation
Indicates the intended or projected number of individuals expected to occupy or use something, such as a facility, area, or system, according to a plan.
-
E.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5156b9588190bafb6b1c3ee3c0ed |
completed | April 1, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.