Triple
T12190611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otaniemi |
E290450
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Micronova
Micronova is a leading Finnish micro- and nanotechnology research and fabrication center located in Otaniemi, Espoo.
|
E964475
|
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: Micronova | Statement: [Otaniemi, hasPart, Micronova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micronova Context triple: [Otaniemi, hasPart, Micronova]
-
A.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
B.
Novaggio
Novaggio is a small municipality in the canton of Ticino in southern Switzerland, known for its scenic hillside setting above Lake Lugano.
-
C.
Metreon
Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
-
D.
Neometron
Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
-
E.
Micronite
Micronite is a brand of cigarette filter historically associated with Kent cigarettes, known for its controversial use of asbestos in early filter designs.
- 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: Micronova Triple: [Otaniemi, hasPart, Micronova]
Generated description
Micronova is a leading Finnish micro- and nanotechnology research and fabrication center located in Otaniemi, Espoo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Micronova Target entity description: Micronova is a leading Finnish micro- and nanotechnology research and fabrication center located in Otaniemi, Espoo.
-
A.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
B.
Novaggio
Novaggio is a small municipality in the canton of Ticino in southern Switzerland, known for its scenic hillside setting above Lake Lugano.
-
C.
Metreon
Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
-
D.
Neometron
Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
-
E.
Micronite
Micronite is a brand of cigarette filter historically associated with Kent cigarettes, known for its controversial use of asbestos in early filter designs.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c5340248190b79379423f3a3ca1 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b240f88190af916054869c3b95 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5ff826ea08190a6780351e4b927ac |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60185ce8c8190abe3b1f633aac55d |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.