Triple
T34183865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Azza |
E876901
|
entity |
| Predicate | hasSocioeconomicCondition |
P74725
|
FINISHED |
| Object | high unemployment |
—
|
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: high unemployment | Statement: [Al-Azza, hasSocioeconomicCondition, high unemployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocioeconomicCondition Context triple: [Al-Azza, hasSocioeconomicCondition, high unemployment]
-
A.
hasSocioeconomicIssue
Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
-
B.
hasSocioeconomicStructure
Indicates that one entity possesses or is characterized by a particular arrangement or system of social and economic relationships, roles, and hierarchies.
-
C.
hasSocioEconomicContext
chosen
Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
-
D.
hasOnScreenSocioeconomicStatus
Indicates that an entity is depicted or characterized with a particular socioeconomic status within an on-screen or audiovisual context.
-
E.
hasEconomicLevel
Indicates that one entity possesses, is classified by, or is associated with a particular economic status or level.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 1, 2026, 1:55 a.m.