Triple

T15346917
Position Surface form Disambiguated ID Type / Status
Subject Leipziger Straße E366945 entity
Predicate hasAdjacent P5707 FINISHED
Object Spittelmarkt E1167271 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: Spittelmarkt | Statement: [Leipziger Straße, hasAdjacent, Spittelmarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spittelmarkt
Context triple: [Leipziger Straße, hasAdjacent, Spittelmarkt]
  • A. Spittelmarkt chosen
    Spittelmarkt is a central square and U-Bahn station in Berlin, Germany, located near the historic city center along the Spree River.
  • B. Ochsenmarkt
    Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
  • C. Rochusmarkt
    Rochusmarkt is a traditional open-air market in Vienna known for its fresh produce, food stalls, and neighborhood atmosphere.
  • D. Holstentorplatz
    Holstentorplatz is a public square in Lübeck, Germany, situated prominently in front of the historic Holstentor city gate and serving as a central traffic and visitor hub.
  • E. Gendarmenmarkt
    Gendarmenmarkt is a historic and architecturally renowned square in central Berlin, famous for its ensemble of the German and French Cathedrals and the Konzerthaus.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec2f35c8190a96af080cd7b6d0e completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 3:17 a.m.