Triple

T9805556
Position Surface form Disambiguated ID Type / Status
Subject Senate of the Free City of Danzig E237944 entity
Predicate hasCapital P204 FINISHED
Object Danzig E18213 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: Danzig | Statement: [Senate of the Free City of Danzig, hasCapital, Danzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danzig
Context triple: [Senate of the Free City of Danzig, hasCapital, Danzig]
  • A. Danzig
    Danzig is an American heavy metal band formed by singer Glenn Danzig, known for its dark, blues-influenced sound and songs like "Mother."
  • B. Swarzewo
    Swarzewo is a village in northern Poland, located near the Baltic Sea coast in the Pomeranian Voivodeship.
  • C. Gdańsk chosen
    Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
  • D. Stettin
    Stettin, now known as Szczecin, is a major port city on the Oder River in northwestern Poland near the Baltic Sea.
  • E. Gdynia
    Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdab7b67748190ba16ce868f29d13e completed April 1, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef1243b14081909d07ab0ebb32cc68 completed April 27, 2026, 7:37 a.m.
Created at: March 30, 2026, 8:29 p.m.