Triple

T4691591
Position Surface form Disambiguated ID Type / Status
Subject Miradouro de Santa Luzia E104045 entity
Predicate hasViewOf P854 FINISHED
Object Port of Lisbon E106359 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: Port of Lisbon | Statement: [Miradouro de Santa Luzia, hasViewOf, Port of Lisbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Lisbon
Context triple: [Miradouro de Santa Luzia, hasViewOf, Port of Lisbon]
  • A. Port of Lisbon chosen
    The Port of Lisbon is a major Atlantic seaport in Portugal that serves as a key hub for maritime trade, passenger traffic, and logistics in the Iberian Peninsula.
  • B. Port of Sines
    Port of Sines is a major deep-water seaport on Portugal’s southwest coast, serving as a key hub for energy, container, and bulk cargo traffic in the Atlantic.
  • C. Port of Faro
    The Port of Faro is a maritime harbor in southern Portugal that serves as a regional hub for commercial shipping, fishing, and nautical tourism in the Algarve.
  • D. Porto de Mós
    Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
  • E. Port of Olhão
    The Port of Olhão is a coastal Portuguese harbor in the Algarve region, serving as an important center for fishing, maritime trade, and local passenger transport.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd639c94608190808e535d0abd08a0 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03bd47b08190a3d2a174eb2f7b2e completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.