Triple

T9900002

Position	Surface form	Disambiguated ID	Type / Status
Subject	Tizen	`E182258`	entity
Predicate	supportsUserInterfaceToolkit	`P84825`	FINISHED
Object	EFL EFL (Enlightenment Foundation Libraries) is a collection of open-source graphics and user interface libraries designed for building fast, lightweight, and visually rich applications, particularly on resource-constrained devices.	`E828351`	NE FINISHED

How this triple was built (5 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: EFL | Statement: [Tizen, supportsUserInterfaceToolkit, EFL]

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

Target entity: EFL
Context triple: [Tizen, supportsUserInterfaceToolkit, EFL]

A. EFL
EFL is a professional football league system in England that organizes and oversees the three divisions below the Premier League.
B. ESL
ESL is a major global esports company known for organizing and hosting professional video game tournaments and leagues worldwide.
C. EFLP
EFLP is the ICAO airport code for Lappeenranta Airport in Lappeenranta, Finland.
D. ELT
ELT is a next-generation ground-based optical and infrared telescope being built by the European Southern Observatory to become the world’s largest and most powerful visible-light telescope.
E. FCE
FCE is the common abbreviation for FC Edmonton, a professional soccer club based in Edmonton, Alberta, Canada.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

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: EFL
Triple: [Tizen, supportsUserInterfaceToolkit, EFL]

Generated description

EFL (Enlightenment Foundation Libraries) is a collection of open-source graphics and user interface libraries designed for building fast, lightweight, and visually rich applications, particularly on resource-constrained devices.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: EFL
Target entity description: EFL (Enlightenment Foundation Libraries) is a collection of open-source graphics and user interface libraries designed for building fast, lightweight, and visually rich applications, particularly on resource-constrained devices.

A. EFL
EFL is a professional football league system in England that organizes and oversees the three divisions below the Premier League.
B. ESL
ESL is a major global esports company known for organizing and hosting professional video game tournaments and leagues worldwide.
C. EFLP
EFLP is the ICAO airport code for Lappeenranta Airport in Lappeenranta, Finland.
D. ELT
ELT is a next-generation ground-based optical and infrared telescope being built by the European Southern Observatory to become the world’s largest and most powerful visible-light telescope.
E. FCE
FCE is the common abbreviation for FC Edmonton, a professional soccer club based in Edmonton, Alberta, Canada.
F. None of above. chosen

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

Target predicate: supportsUserInterfaceToolkit
Context triple: [Tizen, supportsUserInterfaceToolkit, EFL]

A. supportsUserInteraction
Indicates that an entity enables or facilitates direct interaction with a user, such as receiving input or providing responsive feedback.
B. supportsGraphicalUserInterface chosen
Indicates that an entity is capable of operating with or providing a graphical user interface for interaction.
C. userInterface
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
D. supportsUserType
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
E. supportedAs
Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
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_69ca82876f8081909cf75df0f99bb13f`	completed	March 30, 2026, 2:02 p.m.
NER	Named-entity recognition	`batch_69cdb4e0705c8190bd17e36aff615cdd`	completed	April 2, 2026, 12:14 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69d1eb1b9534819093c5150f1ed8f685`	completed	April 5, 2026, 4:54 a.m.
NEDg	Description generation	`batch_69d1ecb3e4a08190add9b971d96f331d`	completed	April 5, 2026, 5:01 a.m.
NED2	Entity disambiguation (via description)	`batch_69d1ed413edc81908177be16d5127a58`	completed	April 5, 2026, 5:04 a.m.
PD	Predicate disambiguation	`batch_69cd1d872d50819096b7ab166a8decf1`	completed	April 1, 2026, 1:28 p.m.

Created at: March 30, 2026, 8:40 p.m.