Triple

T27843624

Position	Surface form	Disambiguated ID	Type / Status
Subject	Плоштад Македонија	`E703754`	entity
Predicate	еПоврзанСо	`P2830`	FINISHED
Object	улица Македонија Улица Македонија е една од главните пешачки и трговски улици во центарот на Скопје, позната по продавници, кафулиња и поврзаноста со плоштад Македонија.	`E1791522`	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: улица Македонија | Statement: [Плоштад Македонија, еПоврзанСо, улица Македонија]

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: улица Македонија
Triple: [Плоштад Македонија, еПоврзанСо, улица Македонија]

Generated description

Улица Македонија е една од главните пешачки и трговски улици во центарот на Скопје, позната по продавници, кафулиња и поврзаноста со плоштад Македонија.

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

Target predicate: еПоврзанСо
Context triple: [Плоштад Македонија, еПоврзанСо, улица Македонија]

A. повʼязанеЗ
Indicates a general association or connection between one entity and another.
B. isAssociatedWith chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
C. associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
D. relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
E. relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
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_69ef840d9e3c819093615ebff4ec22be`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f63fd6c68481908c542aa03e297b9c`	completed	May 2, 2026, 6:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12f7378fd88190a91c125c9998ff0c`	completed	May 24, 2026, 1:03 p.m.
NEDg	Description generation	`batch_6a12f7ba8f048190ac484434da112aeb`	completed	May 24, 2026, 1:06 p.m.
NED2	Entity disambiguation (via description)	`batch_6a12fbae881c8190a13234bf6ad26f8f`	completed	May 24, 2026, 1:22 p.m.
PD	Predicate disambiguation	`batch_69f63c6895f0819088655277e45859a8`	completed	May 2, 2026, 6:03 p.m.

Created at: April 27, 2026, 6:05 p.m.