Triple
T31384789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bituminous coal fields of Pennsylvania |
E800565
|
entity |
| Predicate | coalHardness |
P158601
|
FINISHED |
| Object | soft coal |
—
|
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: soft coal | Statement: [Bituminous coal fields of Pennsylvania, coalHardness, soft coal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coalHardness Context triple: [Bituminous coal fields of Pennsylvania, coalHardness, soft coal]
-
A.
hardnessType
chosen
Indicates the specific category or classification of hardness associated with an entity.
-
B.
hardnessMohs
Indicates the relative hardness of a material as measured on the Mohs scale of mineral hardness.
-
C.
coalType
Indicates the specific kind or classification of coal associated with an entity.
-
D.
hardness
Indicates the degree to which one entity resists being scratched, indented, or deformed by another.
-
E.
isCoalBearing
Indicates that the subject contains or is associated with coal deposits or coal-bearing formations.
- 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_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.