Triple

T34636844
Position Surface form Disambiguated ID Type / Status
Subject United States Minister to New Granada E889449 entity
Predicate receivingStateForm P35007 FINISHED
Object Republic of New Granada (1831–1858) NE NERFINISHED

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: Republic of New Granada (1831–1858) | Statement: [United States Minister to New Granada, receivingStateForm, Republic of New Granada (1831–1858)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivingStateForm
Context triple: [United States Minister to New Granada, receivingStateForm, Republic of New Granada (1831–1858)]
  • A. receivingState
    Indicates that one entity serves as the recipient or destination of something (such as an object, message, or person) from another entity.
  • B. stateForm chosen
    Indicates that an entity has the political or constitutional form of a particular state or system of government.
  • C. supportsFormOfState
    Indicates that one entity endorses, upholds, or favors a particular form or system of state governance associated with another entity.
  • D. formedState
    Indicates that an entity brought a particular state, condition, or configuration into existence or caused it to come about.
  • E. admittedStateFormed
    Indicates that a political entity was formally accepted into and became part of an already existing state or union.
  • 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_69f349d724848190b63ad3407e0006d9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: May 1, 2026, 2:04 a.m.