Triple

T33626265

Position	Surface form	Disambiguated ID	Type / Status
Subject	Budapest transport network	`E861412`	entity
Predicate	suburbanRailOperator	`P121930`	FINISHED
Object	HÉV HÉV is Budapest’s suburban rapid transit rail system that connects the city with its outlying towns and districts.	`E2059543`	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: HÉV | Statement: [Budapest transport network, suburbanRailOperator, HÉV]

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: HÉV
Triple: [Budapest transport network, suburbanRailOperator, HÉV]

Generated description

HÉV is Budapest’s suburban rapid transit rail system that connects the city with its outlying towns and districts.

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

Target predicate: suburbanRailOperator
Context triple: [Budapest transport network, suburbanRailOperator, HÉV]

A. commuterRailBrand
Indicates that a commuter rail service operates under or is associated with a specific brand or branding identity.
B. hasRailTransportOperator chosen
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
C. isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
D. railFranchise
Indicates a contractual relationship in which a company is granted the right to operate rail services or manage rail infrastructure within a specified area or route.
E. transitAuthorityAbbreviation
Indicates that one entity is the standard abbreviated form of the name of a particular transit authority.
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_69f34981c54c81909b33c3fa2208a52d`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f6f85724048190be13f0503898a67e`	completed	May 3, 2026, 7:25 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3611ac06fc8190a26f974ce6d9dcb6`	completed	June 20, 2026, 4:06 a.m.
NEDg	Description generation	`batch_6a3612ddd714819084e5c57e306bb3cd`	completed	June 20, 2026, 4:11 a.m.
NED2	Entity disambiguation (via description)	`batch_6a361366b0d48190be19bf37db10848b`	completed	June 20, 2026, 4:13 a.m.
PD	Predicate disambiguation	`batch_69f6f6632dfc8190af85e258c8519207`	completed	May 3, 2026, 7:16 a.m.

Created at: May 1, 2026, 1:41 a.m.