Triple

T16858820
Position Surface form Disambiguated ID Type / Status
Subject Santiago–Rosalía de Castro Airport E409855 entity
Predicate cityServed P82 FINISHED
Object Lugo E191706 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: Lugo | Statement: [Santiago–Rosalía de Castro Airport, cityServed, Lugo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lugo
Context triple: [Santiago–Rosalía de Castro Airport, cityServed, Lugo]
  • A. Lugo chosen
    Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
  • B. Lugo
    Lugo is a historic town and municipality in the Emilia-Romagna region of northern Italy, known for its medieval center and the imposing Rocca Estense fortress.
  • C. Solitano
    Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
  • D. Gasparro
    Gasparro is an Italian surname most notably associated with Frank Gasparro, the chief engraver of the United States Mint and designer of several iconic U.S. coins.
  • E. Lugos
    Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b501f72881909f7600311705fb33 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.