Triple
T31384797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bituminous coal fields of Pennsylvania |
E800565
|
entity |
| Predicate | majorMiningMethod |
P10926
|
FINISHED |
| Object | underground mining |
—
|
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: underground mining | Statement: [Bituminous coal fields of Pennsylvania, majorMiningMethod, underground mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorMiningMethod Context triple: [Bituminous coal fields of Pennsylvania, majorMiningMethod, underground mining]
-
A.
miningMethod
Indicates the technique or process used to extract minerals or resources from the earth.
-
B.
mainMiningMethod
chosen
Indicates the primary mining technique or process predominantly used in extracting resources at a given site or operation.
-
C.
miningScale
Indicates the relative size or intensity of a mining operation or activity.
-
D.
majorMine
Indicates that a mine is classified as a major or primary mining site, typically based on its scale, output, or importance.
-
E.
eraOfMajorMiningActivity
Indicates the time period during which significant or primary mining operations took place for the associated entity.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 29, 2026, 9:19 p.m.