Triple

T1528163

Position	Surface form	Disambiguated ID	Type / Status
Subject	European starling	`E32382`	entity
Predicate	introducedRange	`P29849`	FINISHED
Object	North America	`E335`	NE FINISHED

How this triple was built (3 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: North America | Statement: [European starling, introducedRange, North America]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: North America
Context triple: [European starling, introducedRange, North America]

A. North America chosen
North America is a large continent in the Northern and Western Hemispheres that includes countries such as the United States, Canada, and Mexico.
B. Americas
The Americas are the combined landmasses of North and South America, encompassing a vast region of diverse cultures, climates, and ecosystems in the Western Hemisphere.
C. América
América is a popular Mexican professional football club based in Mexico City, widely recognized as one of the most successful and supported teams in Liga MX.
D. Western Hemisphere
The Western Hemisphere is the half of Earth that lies west of the Prime Meridian and east of the 180th meridian, encompassing the Americas and parts of western Europe and Africa.
E. Amerika
Amerika is a novel by Franz Kafka that follows a young European immigrant’s surreal and often absurd experiences in the United States.
F. None of above.
G. Unsure - the case is ambiguous/there is not enough information to decide.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: introducedRange
Context triple: [European starling, introducedRange, North America]

A. rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
B. hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
C. introducedRight
Indicates that one entity formally presented or brought another entity to the attention of a third party or context, with the second entity occupying a role or position on the right side in that introduction.
D. introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
E. rangeType
Indicates the type or category of values that can appear in the range (output) position of a property or relation.
F. None of above. chosen

Provenance (5 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_69a885e9b0ac819093a9806ad0efc82c`	completed	March 4, 2026, 7:20 p.m.
NER	Named-entity recognition	`batch_69a933ddc5a881909cdf503f2bc29bd4`	completed	March 5, 2026, 7:42 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69ad4001bcd4819088f59e31e3ed79cf`	completed	March 8, 2026, 9:23 a.m.
PD	Predicate disambiguation	`batch_69a907ae8f688190ad9000ea1e018585`	completed	March 5, 2026, 4:33 a.m.
PDg	Predicate description generation	`batch_69a933dce3488190b20f0e3d37d16371`	completed	March 5, 2026, 7:42 a.m.

Created at: March 4, 2026, 7:26 p.m.