Triple
T21495537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comstock Lode silver rush |
E530340
|
entity |
| Predicate | laborImpact |
P134586
|
FINISHED |
| Object | created demand for skilled miners and engineers |
—
|
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: created demand for skilled miners and engineers | Statement: [Comstock Lode silver rush, laborImpact, created demand for skilled miners and engineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborImpact Context triple: [Comstock Lode silver rush, laborImpact, created demand for skilled miners and engineers]
-
A.
laborMarketEffect
chosen
Indicates the impact that an action, policy, or condition has on employment, wages, or other labor market outcomes.
-
B.
laborProvisionEffect
Indicates the impact or consequences that providing labor has on another entity, condition, or outcome.
-
C.
laborPolicy
Indicates a relationship where an authority or organization defines, regulates, or enforces rules and standards governing labor conditions, rights, and practices.
-
D.
workImpact
Indicates that one entity’s work has an effect or influence on another entity, situation, or outcome.
-
E.
labour
Indicates that an entity performs work or exerts effort, typically in a productive, economic, or physical context, often for another entity or purpose.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea575f2c81909cc0607c4b529f8d |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:23 p.m.