Triple

T12340617
Position Surface form Disambiguated ID Type / Status
Subject First Spanish Republic E294212 entity
Predicate legislature P239 FINISHED
Object Cortes E934889 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: Cortes | Statement: [First Spanish Republic, legislature, Cortes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cortes
Context triple: [First Spanish Republic, legislature, Cortes]
  • A. Cortes
    The Cortes was the representative legislative assembly of the United Kingdom of Portugal, Brazil and the Algarves during the early 19th century constitutional period.
  • B. Cortes
    The Cortes was the unicameral national parliament of the Second Spanish Republic, responsible for enacting laws and overseeing the government under the 1931 constitution.
  • C. Cortes
    Cortes is a historic central neighborhood in Madrid known for its cultural institutions, literary heritage, and proximity to major art museums.
  • D. Cortes chosen
    The Cortes were representative assemblies in medieval Spain that brought together nobles, clergy, and later commoners to advise the monarch and approve matters such as taxation and legislation.
  • E. Cortes
    Cortes is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its fishing communities and natural attractions.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea0a4c4819091a7a66c3b73d776 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:53 p.m.