Triple

T28281358

Position	Surface form	Disambiguated ID	Type / Status
Subject	Sam Warburton	`E713155`	entity
Predicate	playedForAgeLevelTeam	`P8948`	FINISHED
Object	Wales under-18 rugby union team The Wales under-18 rugby union team is the national age-grade side that develops and showcases the country’s most promising young rugby talent before they progress to higher representative levels.	`E1809958`	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: Wales under-18 rugby union team | Statement: [Sam Warburton, playedForAgeLevelTeam, Wales under-18 rugby union team]

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: Wales under-18 rugby union team
Triple: [Sam Warburton, playedForAgeLevelTeam, Wales under-18 rugby union team]

Generated description

The Wales under-18 rugby union team is the national age-grade side that develops and showcases the country’s most promising young rugby talent before they progress to higher representative levels.

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

Target predicate: playedForAgeLevelTeam
Context triple: [Sam Warburton, playedForAgeLevelTeam, Wales under-18 rugby union team]

A. playedForJuniorTeam chosen
Indicates that an individual was a member of and played for a specific junior-level sports team.
B. hasYouthTeam
Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
C. hasAdultTeams
Indicates that the subject is associated with one or more teams composed of adult participants.
D. playsForSchoolType
Indicates that an individual plays for, or is a member of, a team representing a particular type or category of school (e.g., high school, college, university).
E. sportsTeamLevel
Indicates the competitive tier or division in which a sports team participates within an organized league or system.
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_69efb52275788190ae5181ccebef18ce`	completed	April 27, 2026, 7:12 p.m.
NER	Named-entity recognition	`batch_69f6e6029a10819098ff21f58079e70e`	completed	May 3, 2026, 6:06 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a16072680a48190b9b1a8ffd1000272`	completed	May 26, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a160e9ae764819084bb31b9eb8be868`	completed	May 26, 2026, 9:20 p.m.
NED2	Entity disambiguation (via description)	`batch_6a160f0b3afc8190b88d2c370909e1cc`	completed	May 26, 2026, 9:22 p.m.
PD	Predicate disambiguation	`batch_69f6e3d5e8188190b1e1c2e5d1b77031`	completed	May 3, 2026, 5:57 a.m.

Created at: April 27, 2026, 11:23 p.m.