Triple
T17935617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marienthal (Zwickau) |
E448455
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | Zwickau urban road network |
—
|
NE NERFINISHED |
How this triple was built (3 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: Zwickau urban road network | Statement: [Marienthal (Zwickau), hasTransportConnection, Zwickau urban road network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zwickau urban road network Context triple: [Marienthal (Zwickau), hasTransportConnection, Zwickau urban road network]
-
A.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
-
B.
Bilbao urban road network
The Bilbao urban road network is the interconnected system of streets, avenues, and bridges that facilitates vehicular movement and access throughout the city of Bilbao, Spain.
-
C.
Tehran urban road network
The Tehran urban road network is the extensive system of streets, avenues, and highways that structures transportation and connectivity across Iran’s capital city.
-
D.
Hanoi urban road network
The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
-
E.
Lyon urban road network
The Lyon urban road network is the interconnected system of streets, bridges, and thoroughfares that facilitates vehicular and pedestrian movement throughout the metropolitan area of Lyon, France.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zwickau urban road network Target entity description: The Zwickau urban road network is the system of city streets and arterial roads that facilitates local and regional vehicular traffic within and through the city of Zwickau, Germany.
-
A.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
-
B.
Bilbao urban road network
The Bilbao urban road network is the interconnected system of streets, avenues, and bridges that facilitates vehicular movement and access throughout the city of Bilbao, Spain.
-
C.
Tehran urban road network
The Tehran urban road network is the extensive system of streets, avenues, and highways that structures transportation and connectivity across Iran’s capital city.
-
D.
Hanoi urban road network
The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
-
E.
Lyon urban road network
The Lyon urban road network is the interconnected system of streets, bridges, and thoroughfares that facilitates vehicular and pedestrian movement throughout the metropolitan area of Lyon, France.
- F. None of above. chosen
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a55536e0819083dcfc4be71d447a |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:21 a.m.