Triple
T21914664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Dwikozy |
E541152
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kichary Nowe |
—
|
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: Kichary Nowe | Statement: [Gmina Dwikozy, hasSettlement, Kichary Nowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kichary Nowe Context triple: [Gmina Dwikozy, hasSettlement, Kichary Nowe]
-
A.
Kichary
Kichary is a village in south-eastern Poland located within the administrative district of Gmina Koprzywnica in the Świętokrzyskie Voivodeship.
-
B.
Stare Kichary
Stare Kichary is a village in south-eastern Poland, located within the administrative district of Gmina Dwikozy in the Świętokrzyskie Voivodeship.
-
C.
Nowe Kichary
chosen
Nowe Kichary is a village located in the administrative district of Gmina Dwikozy in southeastern Poland.
-
D.
Chociw
Chociw is a village located in central Poland within the administrative area of Rawa County in the Łódź Voivodeship.
-
E.
Pilkhua
Pilkhua is a town in the Hapur district of Uttar Pradesh, India, known for its textile and handloom industries.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123366cb88190a42aa741e1245fd9 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:42 p.m.