Triple
T25894669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marble Island |
E652435
|
entity |
| Predicate | productExported |
P27525
|
FINISHED |
| Object | Tokeen marble |
—
|
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: Tokeen marble | Statement: [Marble Island, productExported, Tokeen marble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productExported Context triple: [Marble Island, productExported, Tokeen marble]
-
A.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
B.
exportProduct
chosen
Indicates that an entity sends or sells a product from its own country or region to another country or external market.
-
C.
exportedTo
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
D.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
-
E.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 22, 2026, 8:22 a.m.