Triple

T16361094
Position Surface form Disambiguated ID Type / Status
Subject Alijó E397310 entity
Predicate borders P224 FINISHED
Object Mirandela E789630 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: Mirandela | Statement: [Alijó, borders, Mirandela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirandela
Context triple: [Alijó, borders, Mirandela]
  • A. Mirandela chosen
    Mirandela is a municipality and city in northeastern Portugal known for its olive oil production and scenic location along the Tua River.
  • B. O Porriño
    O Porriño is a town and municipality in Galicia, northwestern Spain, known for its granite quarries and industrial activity.
  • C. Camariñas
    Camariñas is a coastal town in Galicia, northwestern Spain, known for its traditional handmade bobbin lace and its location on the rugged Costa da Morte.
  • D. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • E. Almagreira
    Almagreira is a civil parish located within the municipality of Vila do Porto in the Azores, Portugal.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad304448190b3f6f0350a1e151d completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.