Triple

T22119813
Position Surface form Disambiguated ID Type / Status
Subject Loures E546634 entity
Predicate hasUrbanArea P316 FINISHED
Object Moscavide 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: Moscavide | Statement: [Loures, hasUrbanArea, Moscavide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscavide
Context triple: [Loures, hasUrbanArea, Moscavide]
  • A. Moscavide chosen
    Moscavide is an urban parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • B. Podvoisky
    Podvoisky is a Russian surname most notably associated with Bolshevik revolutionary and military organizer Nikolai Podvoisky.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Vaskina
    Vaskina is a small settlement located in the traditional Tsakonian region of the eastern Peloponnese in Greece.
  • E. Moscufo
    Moscufo is a small Italian town and comune in the Abruzzo region, noted for its historic architecture and rural setting.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12950f5348190b204fbc347fd5dab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.