Triple
T34705278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National road 92 |
E1000484
|
entity |
| Predicate | parallelCorridor |
P5520
|
FINISHED |
| Object |
Berlin–Poznań–Warsaw transport corridor
The Berlin–Poznań–Warsaw transport corridor is a major trans-European route linking Germany and Poland’s capital cities, serving as a key axis for international road and rail traffic across Central Europe.
|
E1616303
|
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: Berlin–Poznań–Warsaw transport corridor | Statement: [National road 92, parallelCorridor, Berlin–Poznań–Warsaw transport corridor]
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: Berlin–Poznań–Warsaw transport corridor Triple: [National road 92, parallelCorridor, Berlin–Poznań–Warsaw transport corridor]
Generated description
The Berlin–Poznań–Warsaw transport corridor is a major trans-European route linking Germany and Poland’s capital cities, serving as a key axis for international road and rail traffic across Central 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f779739b848190b94257c634d7a179 |
completed | May 3, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a375308293c8190bcd103929d846adf |
completed | June 21, 2026, 2:57 a.m. |
| NEDg | Description generation | batch_6a3753bc9a80819080ac22952c59dd26 |
completed | June 21, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a375497c5288190aed9f037fbe3c969 |
completed | June 21, 2026, 3:03 a.m. |
Created at: May 3, 2026, 3:59 p.m.