Triple
T8712881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinnington area |
E206819
|
entity |
| Predicate | materialExported |
P3026
|
FINISHED |
| Object | building stone |
—
|
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: building stone | Statement: [Dinnington area, materialExported, building stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialExported Context triple: [Dinnington area, materialExported, building stone]
-
A.
exportedTo
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
B.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
C.
majorExport
chosen
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
-
D.
exportedVia
Indicates that something is sent out or made available to an external destination through a specified medium, channel, or mechanism.
-
E.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c32aebc8190ba19299ce9a18efd |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.