Triple

T4267106
Position Surface form Disambiguated ID Type / Status
Subject UFO Bridge E96850 entity
Predicate connects P390 FINISHED
Object Petržalka E445878 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: Petržalka | Statement: [UFO Bridge, connects, Petržalka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petržalka
Context triple: [UFO Bridge, connects, Petržalka]
  • A. Petržalka chosen
    Petržalka is a densely populated borough of Bratislava, Slovakia, known for its extensive panel housing estates and location on the right bank of the Danube River.
  • B. Komárno
    Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
  • C. Liptovský Hrádok
    Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
  • D. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • E. Liptovská Osada
    Liptovská Osada is a village in the Liptov region of northern Slovakia, known for its mountainous surroundings and proximity to the Low Tatras.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fce710481909d90ed4a3d150fde completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd569f30088190bdc9ea72fe35be35 completed March 20, 2026, 2:15 p.m.
Created at: March 12, 2026, 11:07 p.m.