Triple

T31606473
Position Surface form Disambiguated ID Type / Status
Subject Robert Maillart E806501 entity
Predicate notableWork P4 FINISHED
Object Stauffacher Bridge in Zurich
Stauffacher Bridge in Zurich is a pioneering reinforced concrete bridge designed by Swiss engineer Robert Maillart, renowned for its elegant structural form and innovative use of concrete.
E1971816 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: Stauffacher Bridge in Zurich | Statement: [Robert Maillart, notableWork, Stauffacher Bridge in Zurich]
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: Stauffacher Bridge in Zurich
Triple: [Robert Maillart, notableWork, Stauffacher Bridge in Zurich]
Generated description
Stauffacher Bridge in Zurich is a pioneering reinforced concrete bridge designed by Swiss engineer Robert Maillart, renowned for its elegant structural form and innovative use of concrete.

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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a86f36cc8190b36427f1c7bc997e completed May 3, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79cc9b7081908c3c7a34c6b5ec97 completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7c497ac88190a946520dcb33f3da completed June 12, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7d81c4308190885bd80c632ccb28 completed June 12, 2026, 3:31 a.m.
Created at: April 30, 2026, 10:35 p.m.