Triple

T31004105

Position	Surface form	Disambiguated ID	Type / Status
Subject	European Cup match vs Red Star Belgrade	`E790017`	entity
Predicate	aggregateContext	`P170897`	FINISHED
Object	Manchester United were defending a first-leg lead Manchester United were defending a first-leg lead refers to the situation in a European Cup tie against Red Star Belgrade where Manchester United entered the second leg with an advantage from the first match and focused on preserving or building on that lead to progress.	`E1942767`	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: Manchester United were defending a first-leg lead | Statement: [European Cup match vs Red Star Belgrade, aggregateContext, Manchester United were defending a first-leg lead]

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: Manchester United were defending a first-leg lead
Triple: [European Cup match vs Red Star Belgrade, aggregateContext, Manchester United were defending a first-leg lead]

Generated description

Manchester United were defending a first-leg lead refers to the situation in a European Cup tie against Red Star Belgrade where Manchester United entered the second leg with an advantage from the first match and focused on preserving or building on that lead to progress.

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

Target predicate: aggregateContext
Context triple: [European Cup match vs Red Star Belgrade, aggregateContext, Manchester United were defending a first-leg lead]

A. collectionContext
Indicates the situational or environmental framework within which a collection is formed, used, or interpreted, specifying the circumstances that give meaning to the act of collecting or the collected items.
B. bindingContext
Indicates the contextual or situational conditions under which one entity is bound or associated to another (e.g., scope, environment, or circumstances of the binding).
C. organizedInContextOf
Indicates that an event or activity was arranged or carried out specifically within, and in relation to, a particular situational, thematic, or institutional context.
D. contextOfComposition
Indicates the situational, cultural, or environmental circumstances in which a composition or work was created.
E. integrationContext
Indicates the contextual framework or environment within which multiple components, systems, or processes are combined and interact as an integrated whole.
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_69f224c73ca48190a1e46cb58ad4045b`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69f695f9fe7c819084322bf6cdc70a13`	completed	May 3, 2026, 12:25 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a29183441a881909b5d2da676433345`	completed	June 10, 2026, 7:54 a.m.
NEDg	Description generation	`batch_6a2918f4ee448190baf0697c0a4bac1c`	completed	June 10, 2026, 7:57 a.m.
NED2	Entity disambiguation (via description)	`batch_6a291bbf5db88190b416bbf549343a86`	completed	June 10, 2026, 8:09 a.m.
PD	Predicate disambiguation	`batch_69f690ef92308190903a54fc74233269`	completed	May 3, 2026, 12:03 a.m.
PDg	Predicate description generation	`batch_69f695385a2881908cc28ef97fffc867`	completed	May 3, 2026, 12:22 a.m.

Created at: April 29, 2026, 8:57 p.m.