Triple

T6514417
Position Surface form Disambiguated ID Type / Status
Subject Berlin Südkreuz E148217 entity
Predicate formerName P65 FINISHED
Object Papestraße
Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
 E607581 NE FINISHED

How this triple was built (4 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: Papestraße | Statement: [Berlin Südkreuz, formerName, Papestraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Papestraße
Context triple: [Berlin Südkreuz, formerName, Papestraße]
  • A. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • B. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • C. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • D. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • E. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Papestraße
Triple: [Berlin Südkreuz, formerName, Papestraße]
Generated description
Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Papestraße
Target entity description: Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
  • A. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • B. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • C. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • D. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • E. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • F. None of above. chosen

Provenance (5 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40ffb7081908f4dd4679bdefd85 completed March 27, 2026, 8:09 p.m.
NEDg Description generation batch_69c6e6470fe881908e759bc01bf1a54c completed March 27, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7cc21548190b302e2e31f9cadd0 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:44 p.m.