Triple

T21346098
Position Surface form Disambiguated ID Type / Status
Subject Estremadura E526341 entity
Predicate contains P35 FINISHED
Object Peniche 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: Peniche | Statement: [Estremadura, contains, Peniche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peniche
Context triple: [Estremadura, contains, Peniche]
  • A. Peniche chosen
    Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
  • B. Figueira da Foz
    Figueira da Foz is a coastal Portuguese city at the mouth of the Mondego River, known for its wide sandy beaches and seaside tourism.
  • C. Almada
    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.
  • 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. Figueira da Horta
    Figueira da Horta is a small village located on the island of Maio in Cape Verde.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba7ce3c8190ba5ded980a9866f2 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 4:55 p.m.