Triple

T24902489

Position	Surface form	Disambiguated ID	Type / Status
Subject	Grand Prix tennis circuit	`E623617`	entity
Predicate	includedTournaments	`P48631`	FINISHED
Object	Grand Prix Super Series events Grand Prix Super Series events were the top-tier, most prestigious tournaments within the former men’s Grand Prix tennis circuit, offering higher ranking points and prize money than regular events.	`E1656139`	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: Grand Prix Super Series events | Statement: [Grand Prix tennis circuit, includedTournaments, Grand Prix Super Series events]

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: Grand Prix Super Series events
Triple: [Grand Prix tennis circuit, includedTournaments, Grand Prix Super Series events]

Generated description

Grand Prix Super Series events were the top-tier, most prestigious tournaments within the former men’s Grand Prix tennis circuit, offering higher ranking points and prize money than regular events.

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

Target predicate: includedTournaments
Context triple: [Grand Prix tennis circuit, includedTournaments, Grand Prix Super Series events]

A. includesConferenceTournaments
Indicates that the subject entity encompasses or accounts for conference tournaments as part of its scope, structure, or content.
B. hasTournament
Indicates that an entity organizes, hosts, or is associated with a specific tournament.
C. playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
D. numberOfTournaments
Indicates the total count of tournaments associated with or participated in by an entity.
E. includesCompetition chosen
Indicates that one entity contains, features, or encompasses a competition as part of its scope or content.
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_69e2fac797cc8190b30d77f4121099ac`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f661b58ac48190907b6c6e9ccc2c59`	completed	May 2, 2026, 8:42 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1033263a58819087885c25e94299bf`	completed	May 22, 2026, 10:42 a.m.
NEDg	Description generation	`batch_6a10341e764c819083c10e4d151da1c6`	completed	May 22, 2026, 10:46 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1034c45fb88190865f904fd8e766b3`	completed	May 22, 2026, 10:49 a.m.
PD	Predicate disambiguation	`batch_69f660eea4648190b0d5e24293607813`	completed	May 2, 2026, 8:39 p.m.

Created at: April 18, 2026, 5:27 a.m.