Triple

T20222570
Position Surface form Disambiguated ID Type / Status
Subject Cacilhas E495293 entity
Predicate locatedIn P40 FINISHED
Object Almada E177800 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: Almada | Statement: [Cacilhas, locatedIn, Almada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almada
Context triple: [Cacilhas, locatedIn, Almada]
  • A. Almada chosen
    Almada is a Portuguese city located on the south bank of the Tagus River, opposite Lisbon, known for its panoramic views of the capital and its prominent Cristo Rei statue.
  • B. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • C. Abrantes
    Abrantes is a historic Portuguese city in the Santarém District, known for its hilltop castle and strategic location overlooking the Tagus River.
  • D. Vila do Conde
    Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
  • E. Caldas de Reis
    Caldas de Reis is a historic spa town in Galicia, northwestern Spain, known for its thermal springs and its location along the Camino de Santiago pilgrimage route.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd729548190942bcf842f03c4cd completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e038bca8819086f1c4bfaa0a588d completed May 16, 2026, 9:23 p.m.
Created at: April 11, 2026, 11:39 p.m.