Triple

T27136108
Position Surface form Disambiguated ID Type / Status
Subject Carlo Ratti E681689 entity
Predicate notableWork P4 FINISHED
Object Digital Water Pavilion
The Digital Water Pavilion is an innovative architectural structure featuring computer-controlled water walls that can display patterns, text, and images, designed to explore the intersection of digital technology, interactivity, and the built environment.
E1758441 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: Digital Water Pavilion | Statement: [Carlo Ratti, notableWork, Digital Water Pavilion]
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: Digital Water Pavilion
Triple: [Carlo Ratti, notableWork, Digital Water Pavilion]
Generated description
The Digital Water Pavilion is an innovative architectural structure featuring computer-controlled water walls that can display patterns, text, and images, designed to explore the intersection of digital technology, interactivity, and the built environment.

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_69eefacbcc2081909ebf00daa23f1981 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6247aadbc8190bcea3bfd09576920 completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1248202b4481908f6e807e76cce810 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249b3e9888190b3bae29310007be4 completed May 24, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a124a849c3c81908f1b3acdbaed65f8 completed May 24, 2026, 12:47 a.m.
Created at: April 27, 2026, 9:07 a.m.