Triple
T6646985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bubi District |
E150725
|
entity |
| Predicate | hasMiningSector |
P64308
|
FINISHED |
| Object | gold 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: gold mining | Statement: [Bubi District, hasMiningSector, gold mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMiningSector Context triple: [Bubi District, hasMiningSector, gold mining]
-
A.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
B.
hasMiningArea
Indicates that an entity possesses, controls, or is associated with a designated area where mining activities take place.
-
C.
hasMiningDistrict
Indicates that an entity possesses, contains, or is associated with a designated mining district within its domain or jurisdiction.
-
D.
hasMiningCommodity
chosen
Indicates that an entity is associated with, produces, or contains a specific mining-related commodity.
-
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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.