Triple

T198193
Position Surface form Disambiguated ID Type / Status
Subject Mango E4043 entity
Predicate hasSeedType P5984 FINISHED
Object stone 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: stone | Statement: [Mango, hasSeedType, stone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeedType
Context triple: [Mango, hasSeedType, stone]
  • A. seedType chosen
    Indicates the specific kind or category of seed associated with an entity.
  • B. hasSeeding
    Indicates that an entity is assigned or associated with a specific seeding position or rank, typically for ordering or placement in a competitive or structured context.
  • C. hasTypeGenus
    Indicates that one entity is the type genus that formally defines or represents the taxonomic group of the other entity.
  • D. usesSeeding
    Indicates that an entity employs a seeding process or strategy to initiate, distribute, or propagate something (such as data, content, or resources).
  • E. hasSegmentType
    Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69a25b47481c8190add47c641c977bb9 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:44 a.m.