Triple

T14865949
Position Surface form Disambiguated ID Type / Status
Subject District VI E349615 entity
Predicate alsoKnownAs P39 FINISHED
Object Terézváros E857876 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: Terézváros | Statement: [District VI, alsoKnownAs, Terézváros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terézváros
Context triple: [District VI, alsoKnownAs, Terézváros]
  • A. Terézváros chosen
    Terézváros is a central district of Budapest, Hungary, known for its historic architecture, cultural venues, and vibrant urban life.
  • B. Erzsébetváros
    Erzsébetváros is a central Budapest district known for its historic Jewish Quarter, vibrant nightlife, and dense concentration of bars, restaurants, and cultural venues.
  • C. Józsefváros
    Józsefváros is a central district of Budapest, Hungary, known for its historic urban neighborhoods and ongoing revitalization.
  • D. Budapest II District
    Budapest II District is a largely residential, affluent district on the Buda side of Hungary’s capital, known for its hilly terrain, green areas, and upscale neighborhoods.
  • E. Budapest District III
    Budapest District III, also known as Óbuda-Békásmegyer, is a northern district of Budapest that combines historic Óbuda with residential and recreational areas along the Danube.
  • 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_69ff6ec12de8819097cd83530e54f54b completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 1:55 a.m.