Triple
T5278301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongfrontation |
E119427
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Universal Creative |
E114328
|
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: Universal Creative | Statement: [Kongfrontation, manufacturer, Universal Creative]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universal Creative Context triple: [Kongfrontation, manufacturer, Universal Creative]
-
A.
Universal Creative
chosen
Universal Creative is the design and development division of Universal Parks & Resorts responsible for creating many of its iconic theme park attractions and experiences.
-
B.
CREA
CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
-
C.
CREI
CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
-
D.
Créative Technologie
Créative Technologie is Citroën’s modern brand slogan, emphasizing the company’s focus on innovative, design-led automotive engineering and technology.
-
E.
The Creative School
The Creative School is a renowned hub for media, design, and creative industries education within Toronto Metropolitan University, offering innovative programs that blend theory, practice, and industry collaboration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c2eab881908698a14b116a3bfa |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10d839dc8190a9f63740c6bd31a0 |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:51 p.m.