Triple

T28748914
Position Surface form Disambiguated ID Type / Status
Subject Ria da Coruña E731460 entity
Predicate maritimeSettingOf P44766 FINISHED
Object A Coruña 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: A Coruña | Statement: [Ria da Coruña, maritimeSettingOf, A Coruña]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritimeSettingOf
Context triple: [Ria da Coruña, maritimeSettingOf, A Coruña]
  • A. maritimeSettingFor chosen
    Indicates that one entity serves as the maritime or ocean-related environment or backdrop in which another entity is situated or occurs.
  • B. locatedAtSea
    Indicates that something exists or is situated in or on the sea.
  • C. maritimeUsage
    Indicates the extent to which something is used for or involved in maritime activities, such as sea transport, navigation, or ocean-related operations.
  • D. maritimeActivity
    Indicates activities, operations, or behaviors that take place at sea or are directly related to maritime environments and navigation.
  • E. usesAtSea
    Indicates that something is employed, operated, or applied in a maritime or oceanic environment.
  • F. None of above.

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_69f043ecb5c081909ec9da1172d68ece completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 6:06 a.m.