Triple

T2544378
Position Surface form Disambiguated ID Type / Status
Subject First Mayor of Hamburg E57862 entity
Predicate residence P75 FINISHED
Object Hamburg City Hall E276395 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: Hamburg City Hall | Statement: [First Mayor of Hamburg, residence, Hamburg City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg City Hall
Context triple: [First Mayor of Hamburg, residence, Hamburg City Hall]
  • A. Hamburg City Hall chosen
    Hamburg City Hall is the historic neo-Renaissance city hall of Hamburg, Germany, serving as the seat of the city’s government and senate.
  • B. Cologne City Hall
    Cologne City Hall is the historic seat of the city’s government, renowned for its medieval tower, Renaissance loggia, and status as the oldest city hall in Germany still in use.
  • C. Berlin City Hall (Rotes Rathaus)
    Berlin City Hall (Rotes Rathaus) is the historic red-brick seat of the governing mayor and Senate of Berlin, located in the city’s central district.
  • D. Stuttgart City Hall
    Stuttgart City Hall is the main administrative building and seat of the municipal government of Stuttgart, Germany.
  • E. Regensburg City Hall
    Regensburg City Hall is a historic building in Regensburg, Germany, renowned as the long-time meeting place of the Perpetual Imperial Diet of the Holy Roman Empire.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655a0f088190a7ac30c6df1fdff6 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.