Triple
T15736716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt (Old Town of Hanover) |
E381490
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kramerstraße
Kramerstraße is a historic street in Hanover’s Old Town known for its preserved half-timbered houses, traditional shops, and medieval charm.
|
E1237476
|
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: Kramerstraße | Statement: [Altstadt (Old Town of Hanover), contains, Kramerstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kramerstraße Context triple: [Altstadt (Old Town of Hanover), contains, Kramerstraße]
-
A.
Mauerstraße
Mauerstraße is a street in central Berlin, Germany, historically notable for running along the former course of the Berlin Wall near key government and commercial areas.
-
B.
Rosenbergstraße
Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
-
C.
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.
-
D.
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.
-
E.
Turmstraße
Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
- 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: Kramerstraße Triple: [Altstadt (Old Town of Hanover), contains, Kramerstraße]
Generated description
Kramerstraße is a historic street in Hanover’s Old Town known for its preserved half-timbered houses, traditional shops, and medieval charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kramerstraße Target entity description: Kramerstraße is a historic street in Hanover’s Old Town known for its preserved half-timbered houses, traditional shops, and medieval charm.
-
A.
Mauerstraße
Mauerstraße is a street in central Berlin, Germany, historically notable for running along the former course of the Berlin Wall near key government and commercial areas.
-
B.
Rosenbergstraße
Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
-
C.
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.
-
D.
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.
-
E.
Turmstraße
Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd6eb888190b7a9b07b76e62c0d |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c28f43988190aa06da8c356b9646 |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c31d79688190b09754074a0dbafb |
completed | May 10, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c38569d081909f20b7cb32ceb714 |
completed | May 10, 2026, 5:42 p.m. |
Created at: April 10, 2026, 4:46 a.m.