Triple
T13039957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopřivnice |
E327165
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Myjava |
E846028
|
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: Myjava | Statement: [Kopřivnice, hasTwinTown, Myjava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myjava Context triple: [Kopřivnice, hasTwinTown, Myjava]
-
A.
Myjava
chosen
Myjava is a river in western Slovakia that flows through the Myjava region before joining the Morava River.
-
B.
Javakade
Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
-
C.
Jong Java
Jong Java was a prominent early 20th-century Javanese youth organization in the Dutch East Indies that played a key role in the rise of Indonesian nationalism.
-
D.
Javo
Javo is a character from the game Monkey Grip, likely depicted as a distinctive figure within its cast.
-
E.
Planjava
Planjava is a prominent mountain peak in Slovenia’s Kamnik–Savinja Alps, known for its steep faces and popularity among climbers and hikers.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804d8e3081909584c93df099859a |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd2f6a481909fdd418e7ad3cc22 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:55 p.m.