Triple

T21371397
Position Surface form Disambiguated ID Type / Status
Subject Seixal E527072 entity
Predicate capital P234 FINISHED
Object Seixal (city) 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: Seixal (city) | Statement: [Seixal, capital, Seixal (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seixal (city)
Context triple: [Seixal, capital, Seixal (city)]
  • A. Seixal chosen
    Seixal is a municipality on the south bank of the Tagus River in the Lisbon metropolitan area, known as a residential and industrial suburb connected to Lisbon by road and ferry links.
  • B. Seixal
    Seixal is a small coastal town on the north side of Madeira Island in Portugal, known for its dramatic cliffs, natural pools, and black sand beach.
  • C. municipality of Seixal
    The municipality of Seixal is a coastal local government area in the Lisbon metropolitan region of Portugal, situated on the Setúbal Peninsula along the south bank of the Tagus River.
  • D. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • E. Vila Franca do Campo
    Vila Franca do Campo is a coastal town and municipality in the Azores archipelago of Portugal, known for its historic center and nearby islet popular for swimming and diving.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0af44d88190aedd3b2127bb297d completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.