Triple

T11973832
Position Surface form Disambiguated ID Type / Status
Subject Pontevedra, Capiz E284986 entity
Predicate hasMarineResources P11760 FINISHED
Object true LITERAL 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: true | Statement: [Pontevedra, Capiz, hasMarineResources, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMarineResources
Context triple: [Pontevedra, Capiz, hasMarineResources, true]
  • A. hasMarineResource chosen
    Indicates that one entity possesses, contains, or is associated with a marine (ocean or sea-based) resource in relation to another entity.
  • B. hasMarineEcosystem
    Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
  • C. hasMarineSpecies
    Indicates that an entity contains, supports, or is associated with one or more marine species.
  • D. hasMarineReserve
    Indicates that an entity possesses, includes, or is associated with a designated marine reserve area.
  • E. hasMarineEcoregion
    Indicates that an entity is associated with, or located within, a specific marine ecoregion.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d8bb40f30c8190a0e0719bd67542bf completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:46 p.m.