Triple
T6669956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moabit |
E151700
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ottopark
Ottopark is a small urban green space in Berlin’s Moabit district, offering residents a local spot for relaxation and recreation.
|
E610260
|
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: Ottopark | Statement: [Moabit, contains, Ottopark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ottopark Context triple: [Moabit, contains, Ottopark]
-
A.
Parkring
Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
-
B.
Lesoparkovaya
Lesoparkovaya is a Moscow Metro station on the Butovskaya Line serving the southern part of the city near large park areas.
-
C.
Parkend
Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
-
D.
Stars Park
Stars Park was a historic Negro National League baseball stadium in St. Louis, Missouri, that served as the home field of the St. Louis Stars in the 1920s.
-
E.
Viewpark
Viewpark is a residential area in North Lanarkshire, Scotland, known for its post-war housing estates and proximity to the town of Uddingston.
- 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: Ottopark Triple: [Moabit, contains, Ottopark]
Generated description
Ottopark is a small urban green space in Berlin’s Moabit district, offering residents a local spot for relaxation and recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ottopark Target entity description: Ottopark is a small urban green space in Berlin’s Moabit district, offering residents a local spot for relaxation and recreation.
-
A.
Parkring
Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
-
B.
Lesoparkovaya
Lesoparkovaya is a Moscow Metro station on the Butovskaya Line serving the southern part of the city near large park areas.
-
C.
Parkend
Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
-
D.
Stars Park
Stars Park was a historic Negro National League baseball stadium in St. Louis, Missouri, that served as the home field of the St. Louis Stars in the 1920s.
-
E.
Viewpark
Viewpark is a residential area in North Lanarkshire, Scotland, known for its post-war housing estates and proximity to the town of Uddingston.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c7d9148190b3fbb870851d917b |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef12fcfc819086b37dc9b9929663 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a498cc8190a0494082b91b012d |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f136ac648190b94a7cda43139fd0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:02 p.m.