Triple
T30753672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogelfluglinie |
E783021
|
entity |
| Predicate | railComponent |
P49311
|
FINISHED |
| Object |
Nykøbing Falster–Copenhagen railway
The Nykøbing Falster–Copenhagen railway is a key rail line in eastern Denmark that connects the island of Falster with the capital city, forming part of an important international route between Scandinavia and continental Europe.
|
E1928034
|
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: Nykøbing Falster–Copenhagen railway | Statement: [Vogelfluglinie, railComponent, Nykøbing Falster–Copenhagen railway]
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: Nykøbing Falster–Copenhagen railway Triple: [Vogelfluglinie, railComponent, Nykøbing Falster–Copenhagen railway]
Generated description
The Nykøbing Falster–Copenhagen railway is a key rail line in eastern Denmark that connects the island of Falster with the capital city, forming part of an important international route between Scandinavia and continental Europe.
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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f92c0448190a4c90ecfcbca0945 |
completed | May 2, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2899245c0c819088509d039cf739d4 |
completed | June 9, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_6a2899e345f8819098c5601b155a8958 |
completed | June 9, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a289ad889f8819081a06ba9e3e19f1d |
completed | June 9, 2026, 10:59 p.m. |
Created at: April 29, 2026, 8:39 p.m.