Triple

T14866187
Position Surface form Disambiguated ID Type / Status
Subject Zugló E349621 entity
Predicate hasOfficialName P66 FINISHED
Object Budapest XIV. kerülete E1081688 NE FINISHED

How this triple was built (2 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 XIV. kerülete | Statement: [Zugló, hasOfficialName, Budapest XIV. kerülete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Budapest XIV. kerülete
Context triple: [Zugló, hasOfficialName, Budapest XIV. kerülete]
  • A. Budapest XIV. kerülete chosen
    Budapest XIV. kerülete is Zugló, a largely residential but culturally significant district of Budapest known for City Park (Városliget), Heroes’ Square, and several major museums and recreational areas.
  • B. Budapest IV. kerülete
    Budapest IV. kerülete is Újpest, a northern residential and industrial district of Hungary’s capital located along the Danube River.
  • C. Budapest V. kerület
    Budapest V. kerület is the central district of Budapest, known for housing key government buildings, historic landmarks, and major tourist attractions along the Danube.
  • D. Budapest VI. kerület
    Budapest VI. kerület is a central district of Budapest known for its historic boulevards, cultural venues, and major transport hubs.
  • E. Budapest XVI. district
    Budapest XVI. district is a residential and suburban district on the eastern side of Hungary’s capital, known for its green areas and small-town atmosphere within the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5101a48190937a86b6eda79c55 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.