Triple
T13114114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorpommern-Greifswald |
E311048
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Loitz
Loitz is a small town in northeastern Germany situated in the state of Mecklenburg-Vorpommern.
|
E1021597
|
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: Loitz | Statement: [Vorpommern-Greifswald, contains, Loitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loitz Context triple: [Vorpommern-Greifswald, contains, Loitz]
-
A.
Loerzer
Loerzer is the surname of Bruno Loerzer, a notable German First World War flying ace and later Luftwaffe general.
-
B.
Lotha
Lotha is a Naga ethnic group primarily inhabiting the Wokha district of Nagaland in Northeast India, known for its rich cultural traditions and festivals.
-
C.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Lieberher
Lieberher is the surname of American actor Jaeden Lieberher, known for his roles in films like "St. Vincent" and "It."
- 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: Loitz Triple: [Vorpommern-Greifswald, contains, Loitz]
Generated description
Loitz is a small town in northeastern Germany situated in the state of Mecklenburg-Vorpommern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loitz Target entity description: Loitz is a small town in northeastern Germany situated in the state of Mecklenburg-Vorpommern.
-
A.
Loerzer
Loerzer is the surname of Bruno Loerzer, a notable German First World War flying ace and later Luftwaffe general.
-
B.
Lotha
Lotha is a Naga ethnic group primarily inhabiting the Wokha district of Nagaland in Northeast India, known for its rich cultural traditions and festivals.
-
C.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Lieberher
Lieberher is the surname of American actor Jaeden Lieberher, known for his roles in films like "St. Vincent" and "It."
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e33f44208190881bee81c2a41850 |
completed | May 3, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.