Triple
T13767246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castellanza |
E330779
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Trzebnica |
—
|
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: Trzebnica | Statement: [Castellanza, twinTown, Trzebnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trzebnica Context triple: [Castellanza, twinTown, Trzebnica]
-
A.
Trzebnica
chosen
Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
-
B.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
C.
Trzebiatów
Trzebiatów is a historic town in northwestern Poland known for its medieval architecture and location near the Baltic coast.
-
D.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
E.
Kętrzyn
Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0227f2c48190983ccc9395e4e7a2 |
completed | April 14, 2026, 9 a.m. |
Created at: April 9, 2026, 10:10 p.m.