Triple
T13461279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grube Samson |
E311371
|
entity |
| Predicate | primaryExtraction |
P109592
|
FINISHED |
| Object | silver |
—
|
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: silver | Statement: [Grube Samson, primaryExtraction, silver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryExtraction Context triple: [Grube Samson, primaryExtraction, silver]
-
A.
primarySectorActivity
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
-
B.
primaryFormation
Indicates that one entity serves as the main or original formation or structural configuration associated with another entity.
-
C.
primaryDistribution
Indicates that one entity serves as the main or principal channel through which another entity is distributed or allocated.
-
D.
primaryFeedstock
Indicates that one entity serves as the main raw material or input used to produce, process, or operate another entity.
-
E.
originalPrimaryUse
Indicates that something was first or chiefly intended to be used for a particular purpose or function.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03dcd0c8190a8927eb4eaad1c45 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.