Triple
T224655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MemorialToTheMurderedJewsOfEurope |
E4288
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object |
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
|
E28609
|
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: Mitte | Statement: [MemorialToTheMurderedJewsOfEurope, locatedInDistrict, Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitte Context triple: [MemorialToTheMurderedJewsOfEurope, locatedInDistrict, Mitte]
-
A.
Sentrum
Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
-
B.
Markinch
Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
-
C.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
D.
Westwood
Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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: Mitte Triple: [MemorialToTheMurderedJewsOfEurope, locatedInDistrict, Mitte]
Generated description
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mitte Target entity description: Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
A.
Sentrum
Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
-
B.
Markinch
Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
-
C.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
D.
Westwood
Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c8c0b8881908016161568c0cbfb |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35277532c8190ab2815c63a564e33 |
completed | Feb. 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69a3547eeef88190923f3d7b46e11d7e |
completed | Feb. 28, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a354f267ac8190ace99e80f7c24d45 |
completed | Feb. 28, 2026, 8:49 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.