Triple

T7633885
Position Surface form Disambiguated ID Type / Status
Subject Cayo Hueso E172824 entity
Predicate hasSocioEconomicCharacteristic P34617 FINISHED
Object working-class population 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: working-class population | Statement: [Cayo Hueso, hasSocioEconomicCharacteristic, working-class population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSocioEconomicCharacteristic
Context triple: [Cayo Hueso, hasSocioEconomicCharacteristic, working-class population]
  • A. hasSocioEconomicContext
    Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
  • B. sociologicalCharacteristic chosen
    Indicates that one entity possesses or is associated with a particular sociological attribute, status, or trait in relation to another entity or context.
  • C. hasEconomyCharacteristic
    Indicates that an economy possesses a particular attribute, feature, or quality.
  • D. hasSocioeconomicIssue
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • E. laborForceCharacteristic
    Indicates a relationship where an entity is described or classified by a specific attribute or status related to its participation in the labor force.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa72f2881908479049dd8d181a4 completed March 27, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69c6f4e8cadc8190b7977fcd213954dd completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:57 p.m.