Triple

T17619854
Position Surface form Disambiguated ID Type / Status
Subject Narón E429680 entity
Predicate partOf P40 FINISHED
Object comarca of Ferrol 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: comarca of Ferrol | Statement: [Narón, partOf, comarca of Ferrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: comarca of Ferrol
Context triple: [Narón, partOf, comarca of Ferrol]
  • A. Ferrol
    Ferrol is a coastal city and major naval shipbuilding center in the Galicia region of northwestern Spain.
  • B. Ferrol
    Ferrol is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines.
  • C. Province of Pontevedra
    The Province of Pontevedra is a coastal province in the autonomous community of Galicia in northwestern Spain, known for its Atlantic shoreline, historic towns, and maritime traditions.
  • D. Ourense
    Ourense is a historic inland city in northwestern Spain known for its thermal springs and Roman bridge over the Miño River.
  • E. Province of A Coruña chosen
    The Province of A Coruña is a coastal region in northwestern Spain’s autonomous community of Galicia, known for its Atlantic ports, historic cities, and maritime and industrial heritage.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.