Triple
T13536444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innenstadt (Frankfurt am Main) |
E323274
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Zeil (Frankfurt am Main) |
E983096
|
NE FINISHED |
How this triple was built (2 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 (Frankfurt am Main) | Statement: [Innenstadt (Frankfurt am Main), contains, Zeil (Frankfurt am Main)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeil (Frankfurt am Main) Context triple: [Innenstadt (Frankfurt am Main), contains, Zeil (Frankfurt am Main)]
-
A.
Zeil (Frankfurt am Main)
chosen
Zeil (Frankfurt am Main) is Frankfurt’s main shopping street, known as one of Germany’s busiest and most prominent retail boulevards.
-
B.
Zeil am Main
Zeil am Main is a small historic town in northern Bavaria, Germany, known for its wine culture and location along the Main River.
-
C.
Weimar (Lahn)
Weimar (Lahn) is a small municipality in the German state of Hesse, located near the university city of Marburg.
-
D.
Zeilsheim
Zeilsheim is a western district of Frankfurt am Main, Germany, known for its residential character and post-war history, including a former displaced persons camp.
-
E.
Frankfurt-Galluswarte
Frankfurt-Galluswarte is a railway station and urban district area in Frankfurt am Main, Germany, serving as a local transit hub on the city’s S-Bahn network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.