Triple

T20672778
Position Surface form Disambiguated ID Type / Status
Subject M6 motorway (Hungary) E508071 entity
Predicate passesNear P416 FINISHED
Object Paks NE NERFINISHED

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: Paks | Statement: [M6 motorway (Hungary), passesNear, Paks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paks
Context triple: [M6 motorway (Hungary), passesNear, Paks]
  • A. Paks chosen
    Paks is a Hungarian town best known for hosting the country's only nuclear power plant, a key source of its electricity.
  • B. Paks Nuclear Power Plant
    Paks Nuclear Power Plant is Hungary’s only commercial nuclear power station and its largest electricity-generating facility, located near the town of Paks on the Danube River.
  • C. Papuk
    Papuk is a mountain in eastern Croatia known for its forested slopes, geological diversity, and status as a nature park and UNESCO Geopark.
  • D. Slavutych
    Slavutych is a planned Ukrainian city built after the Chernobyl disaster to house evacuated workers and their families, known for its unique multinational architectural design.
  • E. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cb1fc88190805f623e93a70368 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.