Triple
T15750342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolný Kubín |
E381826
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Nysa |
E613308
|
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: Nysa | Statement: [Dolný Kubín, hasTwinTown, Nysa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nysa Context triple: [Dolný Kubín, hasTwinTown, Nysa]
-
A.
Nysa
Nysa is a mythical mountainous region in Greek mythology, often associated with the upbringing of the god Dionysus.
-
B.
Nysa
chosen
Nysa is a historic town in southwestern Poland known for its well-preserved old town, religious architecture, and role as a former important Silesian trade and cultural center.
-
C.
Tishena
Tishena is a dialect of the Meʼen language spoken by a subgroup of the Meʼen people in southwestern Ethiopia.
-
D.
Nassa
Nassa is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy.
-
E.
Nauni
Nauni is a village in Himachal Pradesh, India, best known as the campus location of the Dr. Yashwant Singh Parmar University of Horticulture and Forestry.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502fd3608190b42e647b9c2b41a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.