Triple
T10230093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NanoLund |
E243316
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | NanoLund |
E243316
|
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: NanoLund | Statement: [NanoLund, name, NanoLund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NanoLund Context triple: [NanoLund, name, NanoLund]
-
A.
NanoLund
chosen
NanoLund is Lund University's interdisciplinary research center focused on nanoscience and nanotechnology, bringing together scientists and engineers to study and develop materials and devices at the nanoscale.
-
B.
Nanocnide
Nanocnide is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species related to nettles and hops.
-
C.
Nanoor
Nanoor is a village in the Birbhum district of West Bengal, India, known for its historical and cultural significance, including associations with medieval Bengali poet Chandidas.
-
D.
Nanon
Nanon is a loyal and selfless servant in Honoré de Balzac’s novel "Eugénie Grandet," known for her devotion to the Grandet household and especially to Eugénie.
-
E.
Nan
Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:19 a.m.