Triple

T10229167
Position Surface form Disambiguated ID Type / Status
Subject 2020 Mexican census E243294 entity
Predicate afroMexicanPopulationCount P92877 FINISHED
Object 2473000 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: 2473000 | Statement: [2020 Mexican census, afroMexicanPopulationCount, 2473000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: afroMexicanPopulationCount
Context triple: [2020 Mexican census, afroMexicanPopulationCount, 2473000]
  • A. populationRankInMexico
    Indicates the relative position of an entity in terms of population size compared to other entities within Mexico.
  • B. shareMinorityPopulations
    Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
  • C. hasEthnicallyMixedPopulation
    Indicates that a population is composed of people from multiple distinct ethnic groups rather than being ethnically homogeneous.
  • D. populationEstimatePreContact
    Indicates an estimated size of a population before initial contact occurred between that population and an external group (such as colonizers, explorers, or another culture).
  • E. immigrantPopulationShare
    Indicates the proportion of a total population that is made up of immigrants.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69d4d1e9798c8190b437d53d48554ba1 completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d23a9c4c8190abece9e52879c479 completed April 7, 2026, 9:45 a.m.
Created at: April 6, 2026, 11:18 a.m.