Triple

T13729245
Position Surface form Disambiguated ID Type / Status
Subject vaquita marina E329747 entity
Predicate métodoDeAlimentación P11941 FINISHED
Object ecolocalización 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: ecolocalización | Statement: [vaquita marina, métodoDeAlimentación, ecolocalización]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: métodoDeAlimentación
Context triple: [vaquita marina, métodoDeAlimentación, ecolocalización]
  • A. nutritionMode
    Indicates the way an entity obtains or processes nutrients for sustenance or growth.
  • B. feedingType
    Indicates the manner or method by which one entity provides nourishment or food to another.
  • C. feedingStructure
    Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
  • D. consumptionMethod chosen
    Indicates the manner or process by which something is consumed, used up, or ingested.
  • E. includesFeedingType
    Indicates that one entity encompasses or specifies a particular type or category of feeding associated with another entity.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69dbbe950b148190ba0df8a749269ec6 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:55 p.m.