Triple
T13802714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hapag-Lloyd Express |
E331679
|
entity |
| Predicate | notableRoute |
P22
|
FINISHED |
| Object | Cologne–Hamburg |
E1062279
|
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: Cologne–Hamburg | Statement: [Hapag-Lloyd Express, notableRoute, Cologne–Hamburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cologne–Hamburg Context triple: [Hapag-Lloyd Express, notableRoute, Cologne–Hamburg]
-
A.
Frankfurt–Cologne
Frankfurt–Cologne is a major high-speed rail corridor in Germany connecting the financial hub of Frankfurt with the Rhine metropolis of Cologne.
-
B.
Cologne–Berlin
chosen
Cologne–Berlin is a major domestic air route in Germany that connected the cities of Cologne and Berlin and was notably operated by the low-cost carrier Hapag-Lloyd Express.
-
C.
Cologne
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.
-
D.
Hamburg–Munich
Hamburg–Munich is a major long-distance rail corridor in Germany connecting the northern port city of Hamburg with the southern metropolis of Munich.
-
E.
Düsseldorf
Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.