Triple

T10203563
Position Surface form Disambiguated ID Type / Status
Subject Museo de Geología de la UNAM E238943 entity
Predicate temaPrincipal P25955 FINISHED
Object historia geológica de México 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: historia geológica de México | Statement: [Museo de Geología de la UNAM, temaPrincipal, historia geológica de México]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temaPrincipal
Context triple: [Museo de Geología de la UNAM, temaPrincipal, historia geológica de México]
  • A. primaryTopicOf
    Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
  • B. theme
    Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
  • C. themeFor chosen
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • D. tacklesTheme
    Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
  • E. thematicConcept
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeed6fd0081908f8afad1ef4c6bff completed April 2, 2026, 4:21 a.m.
PD Predicate disambiguation batch_69cd7c8b7f348190a585daa70de4d4c8 completed April 1, 2026, 8:14 p.m.
Created at: March 30, 2026, 9:14 p.m.