Triple

T11804593
Position Surface form Disambiguated ID Type / Status
Subject Hamburg Parliament E280712 entity
Predicate locatedIn P40 FINISHED
Object city-state of Hamburg E562294 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: city-state of Hamburg | Statement: [Hamburg Parliament, locatedIn, city-state of Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city-state of Hamburg
Context triple: [Hamburg Parliament, locatedIn, city-state of Hamburg]
  • A. federal state of Hamburg chosen
    The federal state of Hamburg is a city-state in northern Germany that combines the major port city of Hamburg with its surrounding districts as one of the country’s 16 federal states.
  • B. Hamburg, Holy Roman Empire
    Hamburg, Holy Roman Empire was a major north German port city and important commercial center within the Holy Roman Empire.
  • C. Hamburg and Lübeck
    Hamburg and Lübeck is a diocese of the Evangelical Lutheran Church in Northern Germany that encompasses the historic Hanseatic cities of Hamburg and Lübeck and their surrounding regions.
  • D. Hamburg
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • E. Neustadt, Hamburg
    Neustadt is a central district of Hamburg known for its historic architecture, cultural institutions, and proximity to the city’s main commercial and harbor areas.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1315b4b1481908106984a1362be89 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.