Triple
T4538771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remagen |
E107474
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Brzeg Dolny |
E317115
|
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: Brzeg Dolny | Statement: [Remagen, twinnedWith, Brzeg Dolny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brzeg Dolny Context triple: [Remagen, twinnedWith, Brzeg Dolny]
-
A.
Brzeg Dolny
chosen
Brzeg Dolny is a small industrial town in southwestern Poland, located on the Oder River in the Lower Silesian Voivodeship.
-
B.
Brzeg
Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
C.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
D.
Dąbie
Dąbie is a small town in central Poland, located in the Łódź Voivodeship along the Ner River.
-
E.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57ba327c8190a7f12e14077b1fa7 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacfff41481908a5c97ab4fcb9259 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.