Triple
T21328659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fürstenfeldbruck |
E525834
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Artemisa |
—
|
NE NERFINISHED |
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: Artemisa | Statement: [Fürstenfeldbruck, hasTwinTown, Artemisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artemisa Context triple: [Fürstenfeldbruck, hasTwinTown, Artemisa]
-
A.
Artemisa
chosen
Artemisa is a Cuban city that serves as the administrative and economic center of Artemisa Province.
-
B.
Celestún
Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
-
C.
Solara
Solara is a young woman in the post-apocalyptic film "The Book of Eli" who becomes Eli’s companion and protégé on his journey to protect a sacred book.
-
D.
Ainaro
Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
-
E.
Carina
Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4e88848190b6efe85a4c8cd85a |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.