Triple
T17307152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexikoplatz |
E420191
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Mexikoplatz (German)
Mexikoplatz is a public square in Berlin, Germany, known for its historic architecture and its naming in honor of Mexico.
|
E1262117
|
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: Mexikoplatz (German) | Statement: [Mexikoplatz, hasNameInLanguage, Mexikoplatz (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mexikoplatz (German) Context triple: [Mexikoplatz, hasNameInLanguage, Mexikoplatz (German)]
-
A.
Marijinplatz
Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
-
B.
Hansaplatz
Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
-
C.
Roncalliplatz
Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
-
D.
Maximilianplatz
Maximilianplatz is a square in central Munich known for its green spaces, monuments, and location along the prestigious Maximilianstraße.
-
E.
Domplatz
Domplatz is the central cathedral square in Salzburg’s historic Old Town, known for its baroque architecture and role as a focal point for religious and cultural events.
- 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: Mexikoplatz (German) Triple: [Mexikoplatz, hasNameInLanguage, Mexikoplatz (German)]
Generated description
Mexikoplatz is a public square in Berlin, Germany, known for its historic architecture and its naming in honor of Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mexikoplatz (German) Target entity description: Mexikoplatz is a public square in Berlin, Germany, known for its historic architecture and its naming in honor of Mexico.
-
A.
Marijinplatz
Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
-
B.
Hansaplatz
Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
-
C.
Roncalliplatz
Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
-
D.
Maximilianplatz
Maximilianplatz is a square in central Munich known for its green spaces, monuments, and location along the prestigious Maximilianstraße.
-
E.
Domplatz
Domplatz is the central cathedral square in Salzburg’s historic Old Town, known for its baroque architecture and role as a focal point for religious and cultural events.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4390005dc81908345ebb6dd970582 |
completed | April 19, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e0c1b881908aa2b6b4d8ac04b6 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a018455d4948190a88f0617172f0a4e |
completed | May 11, 2026, 7:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0184b3dfc081908662c83d7d5ea41d |
completed | May 11, 2026, 7:26 a.m. |
Created at: April 10, 2026, 5:43 a.m.