Triple

T25480046
Position Surface form Disambiguated ID Type / Status
Subject Rhine River near Kehl E638543 entity
Predicate hasCrossing P416 FINISHED
Object Europe Bridge
Europe Bridge is a major road and pedestrian bridge linking the French city of Strasbourg with the German town of Kehl across the Rhine River, symbolizing Franco-German cooperation and European unity.
E1678504 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: Europe Bridge | Statement: [Rhine River near Kehl, hasCrossing, Europe Bridge]
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: Europe Bridge
Triple: [Rhine River near Kehl, hasCrossing, Europe Bridge]
Generated description
Europe Bridge is a major road and pedestrian bridge linking the French city of Strasbourg with the German town of Kehl across the Rhine River, symbolizing Franco-German cooperation and European unity.

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_69e75dbabeac8190bab30628f8b799d4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f775776881909086b4249307c522 completed May 2, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089c103e08190bc070fe0a69ed905 completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108a67fc908190926977f4e65dba0b completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108afb4ad08190a1e9bcd731d98fcb completed May 22, 2026, 4:57 p.m.
Created at: April 21, 2026, 2:30 p.m.