Triple

T32895591

Position	Surface form	Disambiguated ID	Type / Status
Subject	Nenggiri River	`E841462`	entity
Predicate	developmentAgencyInvolved	`P3324`	FINISHED
Object	Tenaga Nasional Berhad Tenaga Nasional Berhad is Malaysia’s largest electricity utility company, responsible for power generation, transmission, and distribution across the country.	`E2027790`	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: Tenaga Nasional Berhad | Statement: [Nenggiri River, developmentAgencyInvolved, Tenaga Nasional Berhad]

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: Tenaga Nasional Berhad
Triple: [Nenggiri River, developmentAgencyInvolved, Tenaga Nasional Berhad]

Generated description

Tenaga Nasional Berhad is Malaysia’s largest electricity utility company, responsible for power generation, transmission, and distribution across the country.

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

Target predicate: developmentAgencyInvolved
Context triple: [Nenggiri River, developmentAgencyInvolved, Tenaga Nasional Berhad]

A. developingAgency
Indicates that one entity serves as the organization or agency responsible for developing or creating another entity.
B. componentAgency
Indicates that one entity functions as a constituent or subordinate agency within the organizational structure of another agency.
C. collaboratingAgencies
Indicates that multiple agencies are working together in a coordinated manner toward shared goals or activities.
D. publicAgency
Indicates that an entity functions as a government-controlled or government-authorized organization that provides public services or carries out public administration.
E. hasDevelopmentOrganization chosen
Indicates that an entity is associated with, managed by, or supported by a specific organization responsible for its development.
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_69f34945ae408190b72d8118c83beb77`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69fbc36ce1f88190a7fa1656b714e107`	completed	May 6, 2026, 10:40 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34c68c4ea48190a60d77b49cb529ab`	completed	June 19, 2026, 4:33 a.m.
NEDg	Description generation	`batch_6a34c84409a88190a8eaaf78b0fa0666`	completed	June 19, 2026, 4:40 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34c93dd1d48190b67b29c885246998`	completed	June 19, 2026, 4:44 a.m.
PD	Predicate disambiguation	`batch_69fbbd13595c81908719f52c3d37a7e8`	completed	May 6, 2026, 10:13 p.m.

Created at: May 1, 2026, 1:18 a.m.