Triple
T14861796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augustusplatz |
E349513
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object |
Grimmaische Straße
Grimmaische Straße is a prominent pedestrian shopping and historic street in central Leipzig, Germany.
|
E1162766
|
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: Grimmaische Straße | Statement: [Augustusplatz, locatedOnStreet, Grimmaische Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grimmaische Straße Context triple: [Augustusplatz, locatedOnStreet, Grimmaische Straße]
-
A.
Gerichtstraße
Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
-
B.
Flinger Straße
Flinger Straße is a historic and popular shopping and pedestrian street located in the Altstadt (Old Town) of Düsseldorf, Germany.
-
C.
Mohrenstraße
Mohrenstraße is a street in central Berlin, Germany, known for its historical significance and its location near major government and cultural institutions.
-
D.
Turmstraße
Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
-
E.
Berger Straße
Berger Straße is a prominent and lively shopping and dining street in Frankfurt am Main, known for its mix of boutiques, cafés, bars, and traditional Hessian pubs.
- 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: Grimmaische Straße Triple: [Augustusplatz, locatedOnStreet, Grimmaische Straße]
Generated description
Grimmaische Straße is a prominent pedestrian shopping and historic street in central Leipzig, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grimmaische Straße Target entity description: Grimmaische Straße is a prominent pedestrian shopping and historic street in central Leipzig, Germany.
-
A.
Gerichtstraße
Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
-
B.
Flinger Straße
Flinger Straße is a historic and popular shopping and pedestrian street located in the Altstadt (Old Town) of Düsseldorf, Germany.
-
C.
Mohrenstraße
Mohrenstraße is a street in central Berlin, Germany, known for its historical significance and its location near major government and cultural institutions.
-
D.
Turmstraße
Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
-
E.
Berger Straße
Berger Straße is a prominent and lively shopping and dining street in Frankfurt am Main, known for its mix of boutiques, cafés, bars, and traditional Hessian pubs.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d39a0908190a27f7bbaee7a04ef |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff417598a881908d906b7315dea2d6 |
completed | May 9, 2026, 2:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff41e95bf08190965a870acb72edb6 |
completed | May 9, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:54 a.m.