Triple

T20976544
Position Surface form Disambiguated ID Type / Status
Subject HNoMS Helge Ingstad E516640 entity
Predicate buildLocation P14455 FINISHED
Object Ferrol, Spain 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: Ferrol, Spain | Statement: [HNoMS Helge Ingstad, buildLocation, Ferrol, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferrol, Spain
Context triple: [HNoMS Helge Ingstad, buildLocation, Ferrol, Spain]
  • A. Ferrol chosen
    Ferrol is a coastal city and major naval shipbuilding center in the Galicia region of northwestern Spain.
  • B. Ferrol
    Ferrol is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines.
  • C. Santpedor, Spain
    Santpedor, Spain is a small Catalan town in the province of Barcelona, best known internationally as the birthplace of football manager Pep Guardiola.
  • D. San Ildefonso, Spain
    San Ildefonso, Spain is a historic town in the province of Segovia, best known for the royal palace and gardens of La Granja, a former summer residence of Spanish monarchs.
  • E. Albolote, Spain
    Albolote is a municipality in the province of Granada in southern Spain, known for its proximity to the city of Granada and its mix of residential, agricultural, and industrial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba4a0dc819083b90795d26adfff completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.