Triple
T17920768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valašské Meziříčí |
E448059
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Trzebiatów |
—
|
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: Trzebiatów | Statement: [Valašské Meziříčí, hasTwinTown, Trzebiatów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trzebiatów Context triple: [Valašské Meziříčí, hasTwinTown, Trzebiatów]
-
A.
Trzebiatów
chosen
Trzebiatów is a historic town in northwestern Poland known for its medieval architecture and location near the Baltic coast.
-
B.
Trzebnica
Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
-
C.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
D.
Szydłowiec
Szydłowiec is a historic town in central Poland known for its well-preserved Renaissance architecture and traditional sandstone quarrying.
-
E.
Strzyżów
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30a11748190be41361d108aee58 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.