Triple

T15568836
Position Surface form Disambiguated ID Type / Status
Subject Aveiro District E374185 entity
Predicate containsCity P294 FINISHED
Object Ílhavo E374157 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: Ílhavo | Statement: [Aveiro District, containsCity, Ílhavo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ílhavo
Context triple: [Aveiro District, containsCity, Ílhavo]
  • A. Ílhavo chosen
    Ílhavo is a coastal municipality in central Portugal known for its maritime heritage, cod-fishing traditions, and proximity to the Aveiro lagoon.
  • B. Salen
    Salen is a small coastal village on the Isle of Mull in Scotland, known as a local hub with basic services for residents and visitors exploring the island.
  • C. Ilévia
    Ilévia is the public transport operator responsible for managing and running the urban transit network in and around Lille, France.
  • D. Colva
    Colva is a coastal village in South Goa, India, known for its long stretch of white-sand beach, tourism, and vibrant seaside atmosphere.
  • E. Morea
    Morea was the medieval name for the Peloponnese peninsula in southern Greece, which served as a significant Byzantine province and later despotate.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.