Triple

T36403040

Position	Surface form	Disambiguated ID	Type / Status
Subject	Dewan Bandaraya Kuala Lumpur	`E896680`	entity
Predicate	operatesPublicFacility	`P4904`	FINISHED
Object	Kuala Lumpur City Library Kuala Lumpur City Library is a major public library in Malaysia’s capital that provides community access to books, digital resources, and educational programs.	`E2182699`	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: Kuala Lumpur City Library | Statement: [Dewan Bandaraya Kuala Lumpur, operatesPublicFacility, Kuala Lumpur City Library]

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: Kuala Lumpur City Library
Triple: [Dewan Bandaraya Kuala Lumpur, operatesPublicFacility, Kuala Lumpur City Library]

Generated description

Kuala Lumpur City Library is a major public library in Malaysia’s capital that provides community access to books, digital resources, and educational programs.

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

Target predicate: operatesPublicFacility
Context triple: [Dewan Bandaraya Kuala Lumpur, operatesPublicFacility, Kuala Lumpur City Library]

A. operatesFacility chosen
Indicates that an entity is responsible for running, managing, or controlling the operations of a particular facility.
B. usesFacilityFor
Indicates that an entity makes use of a particular facility to carry out a specific purpose, activity, or function.
C. usesPublicSpace
Indicates that an entity makes use of publicly accessible areas or facilities for its activities or purposes.
D. homeFacilityUse
Indicates that an entity uses or is served by a particular home or primary facility as its main location for activities or services.
E. servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
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_69f76e53b81081908d3b81860593f38a`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a01a9e333fc819087d583ff319be0b3`	completed	May 11, 2026, 10:05 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39b4442aa48190b230fac5aea822f2`	completed	June 22, 2026, 10:16 p.m.
NEDg	Description generation	`batch_6a39bc2fe42c8190bb2ea46ff2f1fa91`	completed	June 22, 2026, 10:50 p.m.
NED2	Entity disambiguation (via description)	`batch_6a39bcd287c081909de3d2f8d2b3fe29`	completed	June 22, 2026, 10:53 p.m.
PD	Predicate disambiguation	`batch_6a01a877c9e08190b0678618d3533286`	completed	May 11, 2026, 9:59 a.m.

Created at: May 3, 2026, 4:10 p.m.