Triple

T21919466
Position Surface form Disambiguated ID Type / Status
Subject Josue E541264 entity
Predicate hasLanguage P15 FINISHED
Object Portuguese 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: Portuguese | Statement: [Josue, hasLanguage, Portuguese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese
Context triple: [Josue, hasLanguage, Portuguese]
  • A. Portuguese
    Portuguese are a Romance-language ethnic group from the Iberian Peninsula, primarily associated with Portugal and historically known for their extensive maritime exploration and global trade networks.
  • B. Portugieser
    Portugieser is one of IWC Schaffhausen’s most iconic watch families, known for its large, clean dials and classic nautical-inspired design.
  • C. Portugieser
    Portugieser is a Central European red wine grape variety known for producing light, fruity, early-drinking wines, particularly in regions such as Hungary and Austria.
  • D. Mar Português
    Mar Português is a celebrated poem by Fernando Pessoa that reflects on Portugal’s maritime history, national identity, and the spiritual legacy of its Age of Discoveries.
  • E. Portuguese language chosen
    Portuguese is a Romance language spoken primarily in Portugal and Brazil, serving as the official language of several countries and widely used across Europe, South America, Africa, and parts of Asia.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12339d88881909e726c9b081bd177 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:44 p.m.