Triple

T38145445

Position	Surface form	Disambiguated ID	Type / Status
Subject	Golf le Fleur*	`E952594`	entity
Predicate	brandNameComponent	`P191144`	FINISHED
Object	Golf Golf is a club-and-ball sport played on large outdoor courses, where players aim to hit a ball into a series of holes in as few strokes as possible.	`E2258246`	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: Golf | Statement: [Golf le Fleur*, brandNameComponent, Golf]

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: Golf
Triple: [Golf le Fleur*, brandNameComponent, Golf]

Generated description

Golf is a club-and-ball sport played on large outdoor courses, where players aim to hit a ball into a series of holes in as few strokes as possible.

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

Target predicate: brandNameComponent
Context triple: [Golf le Fleur*, brandNameComponent, Golf]

A. brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
B. containsComponentBrand
Indicates that an entity includes, as part of its composition or structure, a component produced or branded by a specified brand.
C. brandNumber
Indicates the identifying number or code assigned to a particular brand within a system or dataset.
D. brandNameRefersTo
Indicates that a given brand name is used to denote or refer to a specific entity, product, or organization.
E. catalogBrand
Indicates that a brand is associated with, or offered within, a particular catalog.
F. None of above. chosen

Provenance (7 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_69f76f09a7148190a4b91c0bacdc127a`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fcda3699948190adb57625bae08091`	completed	May 7, 2026, 6:30 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41712eb32881909804c6fc07fa8eaf`	completed	June 28, 2026, 7:08 p.m.
NEDg	Description generation	`batch_6a4172291ffc8190a67594e8b2cb42e0`	completed	June 28, 2026, 7:12 p.m.
NED2	Entity disambiguation (via description)	`batch_6a4172cc0a288190a82f0f22593f5861`	completed	June 28, 2026, 7:15 p.m.
PD	Predicate disambiguation	`batch_69fcd8fd16d08190b0aca6e19a632e99`	completed	May 7, 2026, 6:25 p.m.
PDg	Predicate description generation	`batch_69fcda35dc048190a3c90e15230900e0`	completed	May 7, 2026, 6:30 p.m.

Created at: May 3, 2026, 4:21 p.m.