Triple

T17497105
Position Surface form Disambiguated ID Type / Status
Subject Ferrolterra E426091 entity
Predicate hasMunicipality P847 FINISHED
Object Cedeira 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: Cedeira | Statement: [Ferrolterra, hasMunicipality, Cedeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedeira
Context triple: [Ferrolterra, hasMunicipality, Cedeira]
  • A. Cedeira chosen
    Cedeira is a coastal town and fishing port in the province of A Coruña in Galicia, northwestern Spain, known for its rugged cliffs and Atlantic beaches.
  • B. Iadera
    Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
  • C. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • D. Rubiera
    Rubiera is a municipality in northern Italy’s Emilia-Romagna region, known for its historic center and location between the cities of Reggio Emilia and Modena.
  • E. Olmos
    Olmos is a surname most prominently associated with American actor and director Edward James Olmos, known for his roles in film and television.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520f6790819092c36e0e4ecc4cd3 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.