Triple
T19489332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutno County |
E487604
|
entity |
| Predicate | hasUrbanGmina |
P46875
|
FINISHED |
| Object | Żychlin |
—
|
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: Żychlin | Statement: [Kutno County, hasUrbanGmina, Żychlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Żychlin Context triple: [Kutno County, hasUrbanGmina, Żychlin]
-
A.
Żychlin
chosen
Żychlin is a small town in central Poland known for its historical Jewish community and location within the Łódź Voivodeship.
-
B.
Tarnopol
Tarnopol is a historic city in western Ukraine, now known as Ternopil, which has long served as a regional cultural and administrative center.
-
C.
Czerniaków
Czerniaków is a Polish surname most notably borne by Adam Czerniaków, the head of the Warsaw Ghetto Jewish Council during World War II.
-
D.
Czerniaków
Czerniaków is a historic neighborhood in Warsaw, Poland, situated along the Vistula River and known for its prewar architecture and role in the city’s wartime history.
-
E.
Lemberg
Lemberg is a prominent mountain in the Swabian Jura of Baden-Württemberg, Germany, known as the highest peak in that range.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348ad4088190b530f47efca90165 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.