Triple

T12244768
Position Surface form Disambiguated ID Type / Status
Subject Danzig harbor E291822 entity
Predicate countryAfterWorldWarII P5141 FINISHED
Object Poland E5029 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: Poland | Statement: [Danzig harbor, countryAfterWorldWarII, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poland
Context triple: [Danzig harbor, countryAfterWorldWarII, Poland]
  • A. Poland chosen
    Poland is a Central European country known for its rich medieval heritage, resilient culture, and pivotal role in 20th-century history, including being the site of the outbreak of World War II.
  • B. Polonia
    Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
  • C. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • D. Franuś
    Franuś is a Polish diminutive form of the male given name Franciszek, used as an affectionate or familiar nickname.
  • E. Poland and Czech Republic
    Poland and the Czech Republic are neighboring Central European countries known for their shared history, cultural ties, and extensive cross-border rail connections.
  • 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: countryAfterWorldWarII
Context triple: [Danzig harbor, countryAfterWorldWarII, Poland]
  • A. countryAfter1945
    Indicates that one entity is a country that existed or was established after the year 1945 in relation to the other entity.
  • B. countryBefore1945
    Indicates that one country existed or held a particular status in relation to another country before the year 1945.
  • C. countryAfter1944
    Indicates that one entity is a country that existed or was established after the year 1944 in relation to another referenced context or timeframe.
  • D. countryDuringInterwarPeriod
    Indicates that an entity functioned as a country or sovereign state specifically during the interwar period between World War I and World War II.
  • E. statusAfterWWII chosen
    Indicates the condition, role, or classification an entity had following the end of World War II.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346016848190ba864a3d46280c5a completed May 2, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.