Triple

T9123166
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Hitzig E218905 entity
Predicate designed P184 FINISHED
Object Berliner Börse E779618 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: Berliner Börse | Statement: [Friedrich Hitzig, designed, Berliner Börse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berliner Börse
Context triple: [Friedrich Hitzig, designed, Berliner Börse]
  • A. Berliner Börse chosen
    The Berliner Börse was Berlin’s historic stock exchange building, a prominent 19th-century financial and architectural landmark designed by Friedrich Hitzig.
  • B. Frankfurt Stock Exchange
    The Frankfurt Stock Exchange is one of the world’s largest and most important securities trading centers, serving as Germany’s primary stock market.
  • C. Mannheim stock exchange
    The Mannheim stock exchange was a regional securities market in Mannheim, Germany, historically significant as an early trading venue for industrial companies such as Benz & Cie.
  • D. Deutsche Börse
    Deutsche Börse is a major German financial services company that operates stock exchanges and provides market infrastructure, trading, and clearing services globally.
  • E. SDAX
    SDAX is a German stock market index that tracks the performance of small-cap companies listed on the Frankfurt Stock Exchange.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b5fa188190be6465e74cf26915 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047c55a988190bf2dd63a0d0a2743 completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:17 p.m.