Triple

T17373975
Position Surface form Disambiguated ID Type / Status
Subject Ramalho Ortigão E422384 entity
Predicate coAuthorOf P2389 FINISHED
Object As Farpas 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: As Farpas | Statement: [Ramalho Ortigão, coAuthorOf, As Farpas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: As Farpas
Context triple: [Ramalho Ortigão, coAuthorOf, As Farpas]
  • A. As Farpas chosen
    As Farpas is a 19th-century Portuguese satirical and critical literary series co-authored by Ramalho Ortigão that scrutinizes the social and political life of Portugal.
  • B. Farap
    Farap is a town in eastern Turkmenistan that serves as an important border crossing and transport hub between Turkmenistan and Uzbekistan.
  • C. Seafar
    Seafar is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
  • D. Fannius
    Fannius is a character in Cicero’s philosophical dialogue "De re publica," participating in the work’s discussions on Roman politics and constitutional theory.
  • E. Farhual
    Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6b71148190bb10e1fac400d6c3 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.