Triple
T10184500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomes Penyeach |
E236872
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bahnhofstrasse |
E536056
|
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: Bahnhofstrasse | Statement: [Pomes Penyeach, hasPart, Bahnhofstrasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahnhofstrasse Context triple: [Pomes Penyeach, hasPart, Bahnhofstrasse]
-
A.
Bahnhofstrasse
chosen
Bahnhofstrasse is Zürich’s famous luxury shopping street, known for its high-end boutiques, banks, and central location in the city.
-
B.
Schaffhauserstrasse
Schaffhauserstrasse is a major street in Zurich, Switzerland, that connects the city center with northern districts and serves as an important urban transport corridor.
-
C.
Winterthurerstrasse
Winterthurerstrasse is a major thoroughfare in Zurich, Switzerland, connecting the city center with its northern districts and the city of Winterthur.
-
D.
Mühlenstrasse
Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
-
E.
Schweizer Straße
Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen district.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3566f881909e0d1366f501d554 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317a4d99c8190941322d3de2998f5 |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:12 p.m.