Triple

T5719419
Position Surface form Disambiguated ID Type / Status
Subject Abrantes E126104 entity
Predicate municipalSeat P15510 FINISHED
Object city of Abrantes E126104 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: city of Abrantes | Statement: [Abrantes, municipalSeat, city of Abrantes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Abrantes
Context triple: [Abrantes, municipalSeat, city of Abrantes]
  • A. Vila de Rei
    Vila de Rei is a small inland municipality in central Portugal known for its rural landscapes and its location near the country’s geodesic center.
  • B. Oliveira do Hospital
    Oliveira do Hospital is a municipality in central Portugal known for its rural landscapes, historical villages, and agricultural traditions, particularly cheese and wine production.
  • C. Oliveira do Bairro
    Oliveira do Bairro is a municipality and town in central Portugal known for its wine production and location within the Aveiro District.
  • D. Abrantes chosen
    Abrantes is a historic Portuguese city in the Santarém District, known for its hilltop castle and strategic location overlooking the Tagus River.
  • E. 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.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e1ec7c8190a08e1b7954db2a9d completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a7db0788190b4a5e7b5d9c94588 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.