Triple
T7510721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennecott Mines National Historic Landmark |
E177510
|
entity |
| Predicate | alsoExtractedResource |
P10922
|
FINISHED |
| Object | silver |
—
|
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: silver | Statement: [Kennecott Mines National Historic Landmark, alsoExtractedResource, silver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoExtractedResource Context triple: [Kennecott Mines National Historic Landmark, alsoExtractedResource, silver]
-
A.
resourceExtracted
chosen
Indicates that a resource has been obtained or taken from a source entity, typically through an extraction process.
-
B.
discoveredResource
Indicates that an entity has found, identified, or uncovered a particular resource.
-
C.
resourceExtractionPolicy
Indicates the rules or strategies governing how natural or material resources are extracted from a given area or source.
-
D.
targetResource
Indicates that one entity designates another entity as the specific resource or object toward which an action, request, or operation is directed.
-
E.
formerlyIncluded
Indicates that an entity was previously part of, contained in, or a member of another entity, but is no longer included.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.