Triple
T9240496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tekhnopark |
E222044
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Технопарк |
E222044
|
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: Технопарк | Statement: [Tekhnopark, hasNativeName, Технопарк]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Технопарк Context triple: [Tekhnopark, hasNativeName, Технопарк]
-
A.
Tekhnopark
chosen
Tekhnopark is a Moscow Metro station on the Zamoskvoretskaya Line serving the Technopark technology and business district in southern Moscow.
-
B.
Brigade Tech Park
Brigade Tech Park is a major office and IT business complex located in the Whitefield area of Bangalore, India.
-
C.
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.
-
D.
Cidade da Tecnologia
Cidade da Tecnologia is a nickname for Campina Grande, a Brazilian city renowned as a major regional hub for technology, innovation, and higher education.
-
E.
Tehnopol science and business park
Tehnopol science and business park is a major technology and innovation hub in Tallinn, Estonia, hosting startups, research institutions, and tech companies in a campus-style environment.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf0a3888c8190b72d8d0b850bdfbc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bc043ec81909393e8af03ab0117 |
completed | April 4, 2026, 5:04 a.m. |
Created at: March 30, 2026, 7:30 p.m.