Triple
T16694951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanxess Arena |
E405689
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Cologne |
E35950
|
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: City of Cologne | Statement: [Lanxess Arena, owner, City of Cologne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Cologne Context triple: [Lanxess Arena, owner, City of Cologne]
-
A.
Imperial City of Cologne
The Imperial City of Cologne was a major free imperial city of the Holy Roman Empire, renowned as a key commercial, religious, and cultural center on the Rhine.
-
B.
Cologne
chosen
Cologne is a historic German city on the Rhine River, renowned for its Gothic cathedral, vibrant cultural scene, and status as a major economic and media hub.
-
C.
Cologne
Cologne is an unincorporated community within Galloway Township in Atlantic County, New Jersey, known primarily as a small residential area in the region.
-
D.
Koblenz
Koblenz is a historic German city in Rhineland-Palatinate, known for its strategic location at the confluence of the Rhine and Moselle rivers and its well-preserved fortresses and old town.
-
E.
City of Wesel
The City of Wesel is a historic German town on the Lower Rhine that became an important Reformation and trading center in the early modern period.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eacfa788190a8d2058f96c0d445 |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919acd308190a3f29040554b9cfc |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.