Triple
T31803942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deglet Nour |
E811817
|
entity |
| Predicate | hasMajorProducingCountry |
P33520
|
FINISHED |
| Object | Algeria |
E5033
|
NE 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: Algeria | Statement: [Deglet Nour, hasMajorProducingCountry, Algeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorProducingCountry Context triple: [Deglet Nour, hasMajorProducingCountry, Algeria]
-
A.
isMajorProducerOf
chosen
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
B.
hasMajorCountry
Indicates that an entity includes, is associated with, or is primarily represented by a particular major country.
-
C.
countryOfExport
Indicates that one entity is the country from which another entity (such as a product, shipment, or service) is exported.
-
D.
hasMajorDestinationCountry
Indicates that an entity has a primary or most significant destination country associated with its movement, export, or flow.
-
E.
majorExportersInclude
Indicates that a specified set of entities is among the primary exporters of a particular good, service, or resource.
- F. None of above.
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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e6596a7108190a242c2cc59ef3bf2 |
completed | June 14, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
Created at: April 30, 2026, 11:42 p.m.