Triple

T15554664
Position Surface form Disambiguated ID Type / Status
Subject Goiás E370836 entity
Predicate hasBorderWith P224 FINISHED
Object Distrito Federal E715953 NE 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: Distrito Federal | Statement: [Goiás, hasBorderWith, Distrito Federal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Distrito Federal
Context triple: [Goiás, hasBorderWith, Distrito Federal]
  • A. Distrito Federal
    Distrito Federal was the former official name of Mexico’s capital city, now known as Mexico City, which served as the country’s federal district and political center.
  • B. Distrito Federal chosen
    Distrito Federal is the federal district of Brazil that contains the national capital, Brasília, and serves as the country’s political center.
  • C. District of Columbia
    The District of Columbia is the federal district of the United States that contains the nation’s capital city, Washington, D.C., and serves as the seat of the U.S. federal government.
  • D. Distrito Capital
    Distrito Capital is the federal district that encompasses Caracas, the capital and political center of Venezuela.
  • E. Washington, D.C.
    Washington, D.C. is the capital city of the United States, serving as the nation’s political center and home to its federal government institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456209288190aba6debd434af741 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.