Triple

T28087339
Position Surface form Disambiguated ID Type / Status
Subject Vinzons E709860 entity
Predicate hasMarineProduct P11760 FINISHED
Object fish 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: fish | Statement: [Vinzons, hasMarineProduct, fish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMarineProduct
Context triple: [Vinzons, hasMarineProduct, fish]
  • A. hasMarineStatus
    Indicates that an entity possesses a specific classification or condition related to its status in a marine or oceanic context.
  • B. hasMarineSpecies
    Indicates that an entity contains, supports, or is associated with one or more marine species.
  • C. hasMarinaStatus
    Indicates that an entity has a specific status or classification related to a marina (e.g., operational, planned, closed).
  • D. hasMarineResource chosen
    Indicates that one entity possesses, contains, or is associated with a marine (ocean or sea-based) resource in relation to another entity.
  • E. hasMarinaService
    Indicates that an entity provides marina-related services or facilities for boats and watercraft.
  • 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_69ef9b7037f0819095bb90eaccbcaf32 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69feb342994081909481ec8ec5d44928 completed May 9, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69feb046e4e48190b96649aa28529cc9 completed May 9, 2026, 3:55 a.m.
Created at: April 27, 2026, 8:56 p.m.