Triple
T14896878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Będzin Castle |
E359900
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Będzin |
—
|
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: Będzin | Statement: [Będzin Castle, locatedIn, Będzin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Będzin Context triple: [Będzin Castle, locatedIn, Będzin]
-
A.
Będzin
chosen
Będzin is a historic town in southern Poland’s Silesian Voivodeship, known for its medieval castle and long-standing role as a regional urban center.
-
B.
Bielany
Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
-
C.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
D.
Wojkowice
Wojkowice is a small town in southern Poland’s Silesian Voivodeship, situated in the industrial and urbanized Upper Silesian region.
-
E.
City of Będzin
The City of Będzin is a historic urban center in southern Poland, known for its medieval heritage, including a prominent castle, and its role in the Silesian region’s cultural and industrial history.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
Created at: April 10, 2026, 2:11 a.m.