Triple
T16433949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3XN |
E399135
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
GXN Innovation
GXN Innovation is a research and innovation arm of the Danish architecture firm 3XN, focusing on sustainable design, circular construction, and advanced material technologies.
|
E1213461
|
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: GXN Innovation | Statement: [3XN, hasSubsidiary, GXN Innovation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GXN Innovation Context triple: [3XN, hasSubsidiary, GXN Innovation]
-
A.
Innoventions
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
B.
G2X
G2X is a compact sports car model produced by Daewoo (also known as the Daewoo G2X), recognized for its sleek design and performance-oriented features.
-
C.
Granox Company
Granox Company is a film production company known for producing the movie "Father Goose."
-
D.
Nova Innovation
Nova Innovation is a renewable energy company specializing in the design, manufacture, and deployment of tidal energy turbines and projects.
-
E.
Soon-Tek
Soon-Tek is the given name of Soon-Tek Oh, a Korean-American actor known for his roles in film, television, and voice acting.
- 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: GXN Innovation Triple: [3XN, hasSubsidiary, GXN Innovation]
Generated description
GXN Innovation is a research and innovation arm of the Danish architecture firm 3XN, focusing on sustainable design, circular construction, and advanced material technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GXN Innovation Target entity description: GXN Innovation is a research and innovation arm of the Danish architecture firm 3XN, focusing on sustainable design, circular construction, and advanced material technologies.
-
A.
Innoventions
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
B.
G2X
G2X is a compact sports car model produced by Daewoo (also known as the Daewoo G2X), recognized for its sleek design and performance-oriented features.
-
C.
Granox Company
Granox Company is a film production company known for producing the movie "Father Goose."
-
D.
Nova Innovation
Nova Innovation is a renewable energy company specializing in the design, manufacture, and deployment of tidal energy turbines and projects.
-
E.
Soon-Tek
Soon-Tek is the given name of Soon-Tek Oh, a Korean-American actor known for his roles in film, television, and voice acting.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba01a1c8190b5a4700e2364ae63 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045872a688190bcab27c6a2b952cd |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00464f264081908faef31ef15f378a |
completed | May 10, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a004767d1c88190814e83f09383e874 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:10 a.m.