Triple

T6111011
Position Surface form Disambiguated ID Type / Status
Subject Checkpoint Charlie E136237 entity
Predicate locatedNear P294 FINISHED
Object Kochstraße E71197 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: Kochstraße | Statement: [Checkpoint Charlie, locatedNear, Kochstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kochstraße
Context triple: [Checkpoint Charlie, locatedNear, Kochstraße]
  • A. Kochstraße chosen
    Kochstraße is a Berlin U-Bahn station on line U6 located near Checkpoint Charlie in the central district of Kreuzberg.
  • B. Deutschland 83
    Deutschland 83 is a German Cold War-era television drama series that follows a young East German border guard sent undercover to West Germany as a spy in 1983.
  • C. Straßwalchen
    Straßwalchen is a market town and municipality in the Austrian state of Salzburg, known for its rural character and location northeast of the city of Salzburg.
  • D. Landstraße
    Landstraße is Vienna’s 3rd municipal district, a central urban area known for its mix of historic architecture, embassies, and major transport hubs.
  • E. Bad Tölz
    Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbbbea88190b889a7c30af1d71a completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255f03e08190b62cd8ca2c079afb completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.