Triple
T12063046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opole Voivodeship |
E287221
|
entity |
| Predicate | containsCity |
P294
|
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: [Opole Voivodeship, containsCity, Nysa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nysa Context triple: [Opole Voivodeship, containsCity, 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.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
D.
Monduli
Monduli is a town in northern Tanzania that serves as the administrative center of Monduli District in the Arusha Region.
-
E.
Rupea
Rupea is a small historic town in central Romania, known for its medieval hilltop fortress and location within Brașov County in Transylvania.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043f82248190b05692aa0dc178a8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f654eb1881908d656009f1362ecf |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.