Triple

T21422997
Position Surface form Disambiguated ID Type / Status
Subject Serra de São Mamede Natural Park area E528481 entity
Predicate containsSettlement P847 FINISHED
Object Marvão 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: Marvão | Statement: [Serra de São Mamede Natural Park area, containsSettlement, Marvão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvão
Context triple: [Serra de São Mamede Natural Park area, containsSettlement, Marvão]
  • A. Marvão chosen
    Marvão is a fortified medieval village in Portugal known for its hilltop castle and panoramic views over the Alentejo region.
  • B. Portalegre
    Portalegre is a historic city in eastern Portugal known for its medieval architecture, hilltop setting near the São Mamede mountains, and traditional Alentejo culture.
  • C. Vilar Formoso
    Vilar Formoso is a Portuguese border town in the municipality of Almeida, known as one of the main rail and road gateways between Portugal and Spain.
  • D. Pedrógão Pequeno
    Pedrógão Pequeno is a small village in central Portugal known for its scenic setting near the Zêzere River and its historic bridge and dam.
  • E. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.