Triple
T13023217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zottegem |
E326228
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Zambrów |
E1166145
|
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: Zambrów | Statement: [Zottegem, twinnedWith, Zambrów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zambrów Context triple: [Zottegem, twinnedWith, Zambrów]
-
A.
Zambrów
chosen
Zambrów is a town in northeastern Poland known for its agricultural surroundings and location along important regional transport routes.
-
B.
Zbrzyca
Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
-
C.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
D.
Strzyżów
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
-
E.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b272ea6c8190b22fd78081446701 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 9, 2026, 8:52 p.m.