Triple

T8390668
Position Surface form Disambiguated ID Type / Status
Subject Odeonsplatz E197934 entity
Predicate streetJunctionWith P41155 FINISHED
Object Brienner Straße
Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
E740388 NE FINISHED

How this triple was built (5 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: Brienner Straße | Statement: [Odeonsplatz, streetJunctionWith, Brienner Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brienner Straße
Context triple: [Odeonsplatz, streetJunctionWith, Brienner Straße]
  • A. 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.
  • B. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • C. Schwartzkopffstraße
    Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
  • D. 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.
  • E. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • 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: Brienner Straße
Triple: [Odeonsplatz, streetJunctionWith, Brienner Straße]
Generated description
Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brienner Straße
Target entity description: Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
  • A. 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.
  • B. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • C. Schwartzkopffstraße
    Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
  • D. 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.
  • E. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: streetJunctionWith
Context triple: [Odeonsplatz, streetJunctionWith, Brienner Straße]
  • A. nearJunctionOf
    Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
  • B. roadTerminusOf
    Indicates that a road ends at, or has its terminal point at, the referenced location or route.
  • C. roadJunctionIncludes
    Indicates that a road junction spatially contains or encompasses a specific road segment or related roadway element as part of its structure.
  • D. roadJunctionRelation chosen
    Indicates a spatial connection where two or more roads meet, intersect, or join at a junction.
  • E. locatedBetweenStreets
    Indicates that something is situated between two specified streets, with its position bounded or defined by those streets.
  • F. None of above.

Provenance (6 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810c5c5c81908e124c64911c4e6c completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6cdb3b48819091c554539e74812a completed April 2, 2026, 1:19 p.m.
NEDg Description generation batch_69ce6e66c5e48190badcc5e075892006 completed April 2, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f0cc434819089e78d24dfee5361 completed April 2, 2026, 1:28 p.m.
PD Predicate disambiguation batch_69cb70d24b248190a326aa6804f942b5 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:03 p.m.