Triple
T14782037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zawiercie County |
E347413
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ogrodzieniec |
E604952
|
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: Ogrodzieniec | Statement: [Zawiercie County, contains, Ogrodzieniec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogrodzieniec Context triple: [Zawiercie County, contains, Ogrodzieniec]
-
A.
Ogrodzieniec
chosen
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
B.
Wyszogród
Wyszogród is a historic town in central Poland on the Vistula River, known for its medieval roots and strategic location that has seen numerous military events over the centuries.
-
C.
Złocieniec
Złocieniec is a small town in north-western Poland known for its picturesque lakeside setting and proximity to the Drawsko Landscape Park.
-
D.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
E.
Wołomin
Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45c718208190939b58a14d5ab366 |
completed | May 17, 2026, 10:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.