Triple
T7624999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisłok River |
E172604
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Strzyżów |
E916069
|
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: Strzyżów | Statement: [Wisłok River, nearbyTown, Strzyżów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strzyżów Context triple: [Wisłok River, nearbyTown, Strzyżów]
-
A.
Strzyżów
chosen
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
-
B.
Zbrzyca
Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
-
C.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
-
D.
Zbrosławice
Zbrosławice is a village in southern Poland known as the seat of its rural administrative district in the Silesian Voivodeship.
-
E.
Szydłów
Szydłów is a historic village in south-central Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa6648608190a9203b98b76209aa |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50983ce848190ab375145019ff69b |
completed | April 19, 2026, 4:57 p.m. |
Created at: March 27, 2026, 3:56 p.m.