Triple

T11795926
Position Surface form Disambiguated ID Type / Status
Subject Štúrovo E280505 entity
Predicate locatedOppositeCountry P86312 FINISHED
Object Hungary E5017 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: Hungary | Statement: [Štúrovo, locatedOppositeCountry, Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungary
Context triple: [Štúrovo, locatedOppositeCountry, Hungary]
  • A. Hungary chosen
    Hungary is a landlocked Central European country known for its rich history, distinct language (Hungarian), and capital city Budapest, famed for its thermal baths and architecture.
  • B. Austria and Hungary
    Austria and Hungary are neighboring Central European countries with closely linked histories, cultures, and transportation networks.
  • C. Ungar
    Ungar is a surname of Germanic and Central European origin, historically associated with people from Hungary or of Hungarian descent.
  • D. Slovakia and Hungary
    Slovakia and Hungary are neighboring Central European countries that share a significant stretch of their border along the Danube River.
  • E. Havran
    Havran is a town and district in western Turkey known for its agricultural production and location within Balıkesir Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedOppositeCountry
Context triple: [Štúrovo, locatedOppositeCountry, Hungary]
  • A. oppositeTownCountry
    Indicates that two locations are situated in opposing or contrasting town and country settings, such that one is urban while the other is rural.
  • B. oppositeTownAcrossBorder
    Indicates that one town is located directly across a border from another town, positioned as its opposite counterpart.
  • C. oppositeCityCountry
    Indicates that a city and a country are located on opposite sides of the world or in geographically opposing regions relative to each other.
  • D. countryOnOtherSide chosen
    Indicates that one location is situated across a boundary or dividing feature (such as a border, river, or sea) from another country, on the opposite side.
  • E. betweenCountry
    Indicates a relationship or interaction that involves or occurs among two or more countries.
  • F. None of above.

Provenance (4 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1304cf94c819084b47fa260ca3a9f completed April 28, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69d8a2491f048190853239bc05090bf4 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:42 p.m.