Triple

T9523446
Position Surface form Disambiguated ID Type / Status
Subject Cascais E229699 entity
Predicate hasLandmark P105 FINISHED
Object Guincho Beach E751620 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: Guincho Beach | Statement: [Cascais, hasLandmark, Guincho Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guincho Beach
Context triple: [Cascais, hasLandmark, Guincho Beach]
  • A. Guincho Beach chosen
    Guincho Beach is a renowned Atlantic surf beach near Cascais in Portugal, famous for its strong winds, large waves, and scenic dunes backed by the Sintra-Cascais Natural Park.
  • B. Praia de São Torpes
    Praia de São Torpes is a popular sandy beach on Portugal’s Alentejo coast, known for its good surfing conditions and proximity to the town of Sines.
  • C. Alvor beach
    Alvor beach is a popular sandy coastline in Portugal’s Algarve region, known for its extensive dunes, calm waters, and scenic boardwalks.
  • D. Cabo Branco Beach
    Cabo Branco Beach is a popular urban beach in João Pessoa, Brazil, known for its white sands, calm waters, and scenic coastal cliffs.
  • E. Quarteira Beach
    Quarteira Beach is a popular sandy beach on Portugal’s Algarve coast, known for its long promenade, calm waters, and family-friendly atmosphere.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9898e0b48190a3e3f0f1616d5055 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1526fbad8819099dfae3b7226898b completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:59 p.m.