Triple

T32579965

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cabinet committees	`E832753`	entity
Predicate	hasType	`P0`	FINISHED
Object	cabinet committee on foreign affairs The Cabinet Committee on Foreign Affairs is a high-level government body that coordinates and directs a country’s foreign policy and international relations decisions.	`E2013406`	NE FINISHED

How this triple was built (2 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: cabinet committee on foreign affairs | Statement: [Cabinet committees, hasType, cabinet committee on foreign affairs]

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: cabinet committee on foreign affairs
Triple: [Cabinet committees, hasType, cabinet committee on foreign affairs]

Generated description

The Cabinet Committee on Foreign Affairs is a high-level government body that coordinates and directs a country’s foreign policy and international relations decisions.

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_69f349289adc81909f4374a58ec35a39`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69f6c668b2ac8190931e5989cdcb9750`	completed	May 3, 2026, 3:52 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a347ba4b6688190b00be334e6f75b0c`	completed	June 18, 2026, 11:13 p.m.
NEDg	Description generation	`batch_6a347cf75eb88190a13b4efd38698b4b`	completed	June 18, 2026, 11:19 p.m.
NED2	Entity disambiguation (via description)	`batch_6a347e5172008190a0672bfb37c7326c`	completed	June 18, 2026, 11:25 p.m.

Created at: May 1, 2026, 1:04 a.m.