Triple

T2963062
Position Surface form Disambiguated ID Type / Status
Subject Erlangen E80092 entity
Predicate hasLandmark P105 FINISHED
Object Marktplatz Erlangen E80092 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: Marktplatz Erlangen | Statement: [Erlangen, hasLandmark, Marktplatz Erlangen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marktplatz Erlangen
Context triple: [Erlangen, hasLandmark, Marktplatz Erlangen]
  • A. Grüner Markt
    Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
  • B. Erlangen-Höchstadt
    Erlangen-Höchstadt is a rural district in the Bavarian region of Middle Franconia in Germany, known for encompassing towns such as Herzogenaurach and parts of the metropolitan area around Erlangen.
  • C. Marktplatz
    Marktplatz was the historical central marketplace of Munich, later renamed Marienplatz, which has long served as the city’s main public square and social hub.
  • D. Erlangen chosen
    Erlangen is a city in northern Bavaria, Germany, known for its university, research institutions, and historical association with mathematician Emmy Noether.
  • E. Bayerischer Platz
    Bayerischer Platz is a notable square and U-Bahn station area in Berlin’s Schöneberg district, known for its early 20th-century architecture and historical significance, including memorials to Jewish residents deported during the Nazi era.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9957602c819089b673966fd619e0 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc98d94481908282d21394dc24a7 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.