Triple
T6623099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leszno |
E149724
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object | Głogów |
E18473
|
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: Głogów | Statement: [Leszno, hasRailConnectionTo, Głogów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Głogów Context triple: [Leszno, hasRailConnectionTo, Głogów]
-
A.
Glogów
chosen
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
B.
Gorzów Wielkopolski
Gorzów Wielkopolski is a city in western Poland, known as one of the two capitals of the Lubusz Voivodeship and an important regional industrial and cultural center.
-
C.
Włocławek
Włocławek is a historic city in north-central Poland on the Vistula River, known for its medieval heritage and role as a regional industrial and cultural center.
-
D.
Opole Silesia
Opole Silesia is a historical and cultural region in southwestern Poland, known for its mixed Polish-German heritage and centered around the city of Opole.
-
E.
Zielona Góra
Zielona Góra is a city in western Poland known for its wine-making tradition and annual wine festival.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7decb08190a7b1ddb95e534a6a |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1076c28b08190a5a0ab74ccfb9909 |
completed | April 4, 2026, 12:43 p.m. |
Created at: March 27, 2026, 1:58 p.m.