Triple
T20405097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kista |
E500446
|
entity |
| Predicate | hasNickName |
P39
|
FINISHED |
| Object | ICT cluster Kista Science City |
—
|
NE NERFINISHED |
How this triple was built (3 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: ICT cluster Kista Science City | Statement: [Kista, hasNickName, ICT cluster Kista Science City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICT cluster Kista Science City Context triple: [Kista, hasNickName, ICT cluster Kista Science City]
-
A.
Copenhagen life science cluster
Copenhagen life science cluster is a major Danish hub for research, education, and innovation in health and life sciences, integrating universities, hospitals, and biotech companies in the Greater Copenhagen area.
-
B.
WISTA Science and Technology Park
WISTA Science and Technology Park is a major research and business hub in Berlin’s Adlershof district, hosting high-tech companies, scientific institutes, and startup facilities.
-
C.
Genopole biocluster
Genopole biocluster is a major French research and innovation hub dedicated to genomics, biotechnology, and life sciences, located in Évry-Courcouronnes near Paris.
-
D.
Stockholm region green structure
Stockholm region green structure is a large-scale network of interconnected parks, nature reserves, and green corridors in and around Stockholm that supports biodiversity, recreation, and sustainable urban development.
-
E.
Tekhnopark
Tekhnopark is a Moscow Metro station on the Zamoskvoretskaya Line serving the Technopark technology and business district in southern Moscow.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ICT cluster Kista Science City Target entity description: ICT cluster Kista Science City is a major high-tech business and research hub in Stockholm, Sweden, known for its concentration of ICT companies, startups, and academic institutions.
-
A.
Copenhagen life science cluster
Copenhagen life science cluster is a major Danish hub for research, education, and innovation in health and life sciences, integrating universities, hospitals, and biotech companies in the Greater Copenhagen area.
-
B.
WISTA Science and Technology Park
WISTA Science and Technology Park is a major research and business hub in Berlin’s Adlershof district, hosting high-tech companies, scientific institutes, and startup facilities.
-
C.
Genopole biocluster
Genopole biocluster is a major French research and innovation hub dedicated to genomics, biotechnology, and life sciences, located in Évry-Courcouronnes near Paris.
-
D.
Stockholm region green structure
Stockholm region green structure is a large-scale network of interconnected parks, nature reserves, and green corridors in and around Stockholm that supports biodiversity, recreation, and sustainable urban development.
-
E.
Tekhnopark
Tekhnopark is a Moscow Metro station on the Zamoskvoretskaya Line serving the Technopark technology and business district in southern Moscow.
- F. None of above. chosen
Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.