Triple
T21914663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Dwikozy |
E541152
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kichary |
—
|
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 | Statement: [Gmina Dwikozy, hasSettlement, Kichary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kichary Context triple: [Gmina Dwikozy, hasSettlement, Kichary]
-
A.
Kichary
chosen
Kichary is a village in south-eastern Poland located within the administrative district of Gmina Koprzywnica in the Świętokrzyskie Voivodeship.
-
B.
Tsévié
Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
-
C.
Masamba
Masamba is a town in South Sulawesi, Indonesia, known as an administrative and economic center in the North Luwu area.
-
D.
Stare Kichary
Stare Kichary is a village in south-eastern Poland, located within the administrative district of Gmina Dwikozy in the Świętokrzyskie Voivodeship.
-
E.
Koshari
Koshari is a popular Egyptian street food dish made from a hearty mix of rice, lentils, pasta, and chickpeas topped with spiced tomato sauce and crispy fried onions.
- 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.