Triple

T31935514

Position	Surface form	Disambiguated ID	Type / Status
Subject	Nemzeti Bajnokság I	`E815373`	entity
Predicate	hasDomesticRivalryContext	`P18267`	FINISHED
Object	Budapest derbies Budapest derbies are fiercely contested local football rivalries between Budapest-based clubs competing in Hungary’s top division.	`E1984329`	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: Budapest derbies | Statement: [Nemzeti Bajnokság I, hasDomesticRivalryContext, Budapest derbies]

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: Budapest derbies
Triple: [Nemzeti Bajnokság I, hasDomesticRivalryContext, Budapest derbies]

Generated description

Budapest derbies are fiercely contested local football rivalries between Budapest-based clubs competing in Hungary’s top division.

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

Target predicate: hasDomesticRivalryContext
Context triple: [Nemzeti Bajnokság I, hasDomesticRivalryContext, Budapest derbies]

A. hasRivalryContext
Indicates that there exists a competitive or adversarial relationship between entities within a specific situational or contextual framework.
B. hasLocalRivalry chosen
Indicates that there is an ongoing competitive or adversarial relationship between entities that are geographically close or share the same local area.
C. hasNationalRivalryContext
Indicates that there exists a relationship of competitive or adversarial national rivalry between the associated entities, providing the contextual backdrop for their interaction or comparison.
D. hasRivalryAspect
Indicates that there exists a competitive or adversarial relationship or dimension between entities.
E. hasForeignRival
Indicates that an entity has at least one rival that is based in or originates from a different country or foreign jurisdiction.
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_69f348f3035c81908558e2339955abb3`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69f7221dc9a88190bb8194fcc29c42bc`	completed	May 3, 2026, 10:23 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2e8a3f56a08190b5fe26e362aa0d03`	completed	June 14, 2026, 11:02 a.m.
NEDg	Description generation	`batch_6a2e8af44d208190a478474dbd7d0178`	completed	June 14, 2026, 11:05 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2e8bea3a60819088295cb1c20f0f69`	completed	June 14, 2026, 11:09 a.m.
PD	Predicate disambiguation	`batch_69f72153a9188190b02adc84e1be4af8`	completed	May 3, 2026, 10:20 a.m.

Created at: May 1, 2026, 12:05 a.m.