Triple
T37634285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amagá |
E936440
|
entity |
| Predicate | hasCoalDeposits |
—
|
GENERATED |
| Object | yes |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoalDeposits Context triple: [Amagá, hasCoalDeposits, yes]
-
A.
hasCoalBasin
Indicates that one entity contains, includes, or is characterized by a coal-bearing geological basin associated with the other entity.
-
B.
hasCoalMiningCompany
Indicates that an entity is associated with or owns a company whose primary business is coal mining.
-
C.
hasCoalMineNearby
Indicates that a location or entity is situated close to at least one coal mine.
-
D.
hasCoalMiningHistory
Indicates that an entity has a past or ongoing involvement in coal mining activities or industry.
-
E.
isCoalBearing
chosen
Indicates that the subject contains or is associated with coal deposits or coal-bearing formations.
- F. None of above.
Provenance (1 batch)
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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.