Triple
T27918400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Juan Basin |
E706135
|
entity |
| Predicate | primaryCoalBearingFormation |
P200749
|
FINISHED |
| Object | Fruitland Formation |
—
|
NE NERFINISHED |
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: Fruitland Formation | Statement: [San Juan Basin, primaryCoalBearingFormation, Fruitland Formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCoalBearingFormation Context triple: [San Juan Basin, primaryCoalBearingFormation, Fruitland Formation]
-
A.
isCoalBearing
Indicates that the subject contains or is associated with coal deposits or coal-bearing formations.
-
B.
coalType
Indicates the specific kind or classification of coal associated with an entity.
-
C.
majorCoalField
Indicates that a location is recognized as a principal or highly significant coal-producing field within a region or country.
-
D.
coalTypeMined
Indicates that a particular type of coal is extracted or produced through mining at a given location or by a given agent.
-
E.
coalMinedFrom
Indicates that a quantity or batch of coal has been extracted from a particular source location, such as a mine or geological deposit.
- F. None of above. chosen
Provenance (4 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69ffab59fe408190b72f13016de9953c |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 27, 2026, 6:55 p.m.