Triple

T1781607
Position Surface form Disambiguated ID Type / Status
Subject mainland Portugal E39301 entity
Predicate containsCity P294 FINISHED
Object Portalegre E211422 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: Portalegre | Statement: [mainland Portugal, containsCity, Portalegre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portalegre
Context triple: [mainland Portugal, containsCity, Portalegre]
  • A. Portalegre chosen
    Portalegre is a historic city in eastern Portugal known for its medieval architecture, hilltop setting near the São Mamede mountains, and traditional Alentejo culture.
  • B. Vila Real de Santo António
    Vila Real de Santo António is a coastal town and municipality in Portugal’s Algarve region, located at the mouth of the Guadiana River on the border with Spain.
  • C. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • D. Vila do Bispo
    Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
  • E. Caldas de Monchique
    Caldas de Monchique is a small spa village in Portugal’s Algarve region, renowned for its thermal springs and scenic mountain setting.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e34fe881908aa75f2b4141b87b completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfb9c69488190abcbbf796176fca5 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:31 p.m.