Triple
T19870940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eritrean economy |
E477514
|
entity |
| Predicate | minorSector |
P137651
|
FINISHED |
| Object | industry |
—
|
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: industry | Statement: [Eritrean economy, minorSector, industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minorSector Context triple: [Eritrean economy, minorSector, industry]
-
A.
minorProduction
Indicates that an entity is involved in a secondary or less significant production activity relative to a primary production process.
-
B.
majorSubsect
Indicates that one group, movement, or tradition is a principal or primary subdivision within a larger religious, ideological, or organizational entity.
-
C.
minorSignCategory
Indicates that one sign is classified as a minor or subordinate category within a broader system of sign types.
-
D.
minorDenomination
Indicates that one entity is a smaller or subordinate unit of currency or value in relation to another entity.
-
E.
relativeMinor
Indicates that one musical key is the relative minor of another, sharing the same key signature but having a different tonic.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a3d2b08190ad81914d4860df0e |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.