Triple
T14334177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDW |
E355427
|
entity |
| Predicate | designDisciplines |
P62830
|
FINISHED |
| Object |
interaction design
Interaction design is a design discipline focused on shaping how people engage with digital products, systems, and services through intuitive and meaningful user interactions.
|
E1094019
|
NE FINISHED |
How this triple was built (4 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: interaction design | Statement: [DDW, designDisciplines, interaction design]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: interaction design Context triple: [DDW, designDisciplines, interaction design]
-
A.
UX
UX is the station code for RAF Uxbridge, a former Royal Air Force station in Uxbridge, west London, historically significant for its role in the Battle of Britain.
-
B.
UX
UX is the two-letter IATA airline designator assigned to the Spanish carrier Air Europa.
-
C.
IXD
IXD is the IATA airport code for Prayagraj Airport, a domestic airport serving the city of Prayagraj in Uttar Pradesh, India.
-
D.
UI
UI is the standard abbreviation for an Intervention Unit, a measure used to quantify the amount or intensity of a specific intervention.
-
E.
UI
UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: interaction design Triple: [DDW, designDisciplines, interaction design]
Generated description
Interaction design is a design discipline focused on shaping how people engage with digital products, systems, and services through intuitive and meaningful user interactions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: interaction design Target entity description: Interaction design is a design discipline focused on shaping how people engage with digital products, systems, and services through intuitive and meaningful user interactions.
-
A.
UX
UX is the station code for RAF Uxbridge, a former Royal Air Force station in Uxbridge, west London, historically significant for its role in the Battle of Britain.
-
B.
UX
UX is the two-letter IATA airline designator assigned to the Spanish carrier Air Europa.
-
C.
IXD
IXD is the IATA airport code for Prayagraj Airport, a domestic airport serving the city of Prayagraj in Uttar Pradesh, India.
-
D.
UI
UI is the standard abbreviation for an Intervention Unit, a measure used to quantify the amount or intensity of a specific intervention.
-
E.
UI
UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
- F. None of above. chosen
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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469634688190980df59ee482b792 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47e2b8d481909ed8274a96615b36 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4879b2688190ac208545ae226c93 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 10, 2026, 1:13 a.m.