Triple

T2148069
Position Surface form Disambiguated ID Type / Status
Subject Colonia Santa María la Ribera E47113 entity
Predicate socioeconomicProfile P2987 FINISHED
Object traditionally middle-class 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: traditionally middle-class | Statement: [Colonia Santa María la Ribera, socioeconomicProfile, traditionally middle-class]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: socioeconomicProfile
Context triple: [Colonia Santa María la Ribera, socioeconomicProfile, traditionally middle-class]
  • A. economicStatus chosen
    Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
  • B. socialClassSystem
    Indicates a hierarchical organization of people into social classes based on status, power, or economic position.
  • C. sociologicalCharacteristic
    Indicates that one entity possesses or is associated with a particular sociological attribute, status, or trait in relation to another entity or context.
  • D. socialClassAtBirth
    Indicates the social class or socioeconomic status into which an individual was born.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeaa14bc81908486683decd7ae42 completed March 7, 2026, 5:59 a.m.
PD Predicate disambiguation batch_69abbd9846e88190b6c2941dd9ce7749 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.