Triple
T35733398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mainz–Ludwigshafen industrial ports |
E1032819
|
entity |
| Predicate | isPartOfCorridor |
P35
|
FINISHED |
| Object |
North Sea–Rhine inland shipping network
The North Sea–Rhine inland shipping network is a major European waterway system linking North Sea ports with industrial and commercial centers along the Rhine and its tributaries, facilitating extensive freight transport and trade.
|
E2153566
|
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: North Sea–Rhine inland shipping network | Statement: [Mainz–Ludwigshafen industrial ports, isPartOfCorridor, North Sea–Rhine inland shipping network]
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: North Sea–Rhine inland shipping network Triple: [Mainz–Ludwigshafen industrial ports, isPartOfCorridor, North Sea–Rhine inland shipping network]
Generated description
The North Sea–Rhine inland shipping network is a major European waterway system linking North Sea ports with industrial and commercial centers along the Rhine and its tributaries, facilitating extensive freight transport and trade.
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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1643cf08190a33a62db90352600 |
completed | May 3, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d1f1f7c81909bc8dc4612e411d7 |
completed | June 22, 2026, 12:09 a.m. |
| NEDg | Description generation | batch_6a387e0b606c819093d074bde21518d2 |
completed | June 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3880fb52d4819099c2bdba7e7d948f |
completed | June 22, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:05 p.m.