Triple

T34976010

Position	Surface form	Disambiguated ID	Type / Status
Subject	Krakozhia	`E1008677`	entity
Predicate	hasFictionalAirline	`P158093`	FINISHED
Object	Krakozhian national airline The Krakozhian national airline is a fictional flag carrier from the movie "The Terminal," representing the imaginary Eastern European country of Krakozhia.	`E2120944`	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: Krakozhian national airline | Statement: [Krakozhia, hasFictionalAirline, Krakozhian national airline]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Krakozhian national airline
Triple: [Krakozhia, hasFictionalAirline, Krakozhian national airline]

Generated description

The Krakozhian national airline is a fictional flag carrier from the movie "The Terminal," representing the imaginary Eastern European country of Krakozhia.

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

Target predicate: hasFictionalAirline
Context triple: [Krakozhia, hasFictionalAirline, Krakozhian national airline]

A. fictionalAirline
Indicates that an entity is an airline that exists only in fiction rather than in the real world.
B. operatesFictionalFlight
Indicates that an entity runs or manages a flight service that exists only in a fictional or imaginary context.
C. usesFictionalAircraftType
Indicates that an entity makes use of, operates, or features a type of aircraft that is fictional rather than real.
D. hasFictionalCorporation chosen
Indicates that an entity is associated with or includes a fictional corporation within its content, setting, or narrative.
E. hasAirlines
Indicates that one entity (such as an airport, city, or country) is served by or associated with one or more airline operators.
F. None of above.

Provenance (6 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_69f76dc78a308190a1ac29ad4a9a4895`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69ffac35ac5481908b6bdfd5bbe8c76e`	completed	May 9, 2026, 9:50 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37b279f00c8190b9b740e964ff217d`	completed	June 21, 2026, 9:44 a.m.
NEDg	Description generation	`batch_6a37b3c955c88190989d0c2404a72ed1`	completed	June 21, 2026, 9:50 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37b51173808190a8314a275b7c87d7`	completed	June 21, 2026, 9:55 a.m.
PD	Predicate disambiguation	`batch_69ffabbfd2548190964c851496bbbaee`	completed	May 9, 2026, 9:48 p.m.

Created at: May 3, 2026, 4:01 p.m.