Triple

T28740812
Position Surface form Disambiguated ID Type / Status
Subject Askar refugee camp E731232 entity
Predicate hasSocioeconomicConditions 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: [Askar refugee camp, hasSocioeconomicConditions, high unemployment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSocioeconomicConditions
Context triple: [Askar refugee camp, hasSocioeconomicConditions, high unemployment]
  • A. hasSocioeconomicIssue
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • B. hasSocioEconomicContext chosen
    Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
  • C. hasOnScreenSocioeconomicStatus
    Indicates that an entity is depicted or characterized with a particular socioeconomic status within an on-screen or audiovisual context.
  • D. hasEconomicLevel
    Indicates that one entity possesses, is classified by, or is associated with a particular economic status or level.
  • E. socioEconomicBase
    Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
  • 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_69f043ecb5c081909ec9da1172d68ece completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6f8565134819096aac0175f924a9f completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
Created at: April 28, 2026, 6:02 a.m.