Triple
T3839171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innenstadt (Frankfurt am Main) |
E93408
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Zeil
Zeil is Frankfurt am Main’s main shopping street, known as one of Germany’s busiest and most popular retail boulevards.
|
E393822
|
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: Zeil | Statement: [Innenstadt (Frankfurt am Main), contains, Zeil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeil Context triple: [Innenstadt (Frankfurt am Main), contains, Zeil]
-
A.
Zülicke
Zülicke is a German surname most notably associated with individuals such as physicist Lutz Zülicke.
-
B.
Lutzenberg
Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
-
C.
Zeilin
Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
-
D.
Zihl
Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
-
E.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
- 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: Zeil Triple: [Innenstadt (Frankfurt am Main), contains, Zeil]
Generated description
Zeil is Frankfurt am Main’s main shopping street, known as one of Germany’s busiest and most popular retail boulevards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeil Target entity description: Zeil is Frankfurt am Main’s main shopping street, known as one of Germany’s busiest and most popular retail boulevards.
-
A.
Zülicke
Zülicke is a German surname most notably associated with individuals such as physicist Lutz Zülicke.
-
B.
Lutzenberg
Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
-
C.
Zeilin
Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
-
D.
Zihl
Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
-
E.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeb9f305c8190b71ac53bbb0c4beb |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040835dc81909ecf5053128f1cc7 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b507cfee048190a41ad30f4ceaf6c8 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50857e9ec8190bb03f13c4573b779 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:18 p.m.